E. C. Faye, M. D. Fall and N. Dobigeon, "Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling," submitted.
[BIBT_{E}X]
Preprint available on arXiv: .
F. Coeurdoux, N. Dobigeon and P. Chainais, "Normalizing flow sampling with Langevin dynamics in the latent space," submitted.
[BIBT_{E}X]
Preprint available on arXiv: .
C. Elvira, P. Chainais and N. Dobigeon, "Bayesian nonparametric principal component analysis," submitted. [BIBT_{E}X]
Preprint available on arXiv: .
F. Coeurdoux, N. Dobigeon and P. Chainais, "Plug-and-Play split Gibbs Sampler: embedding deep generative priors
in Bayesian inference," IEEE Trans. Image Processing, to appear.
[BIBT_{E}X]
X. Zhang, I. Cognard and N. Dobigeon, "RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference - Application to pulsar observations," Astronomy and Computing, vol. 47, April 2024. [BIBT_{E}X]
M. Zhao, J. Chen and N. Dobigeon, "AE-RED: A hyperspectral unmixing framework powered by deep autoencoder and regularization by denoising," IEEE Trans. Geoscience and Remote Sensing, vol. 62, March 2024. [BIBT_{E}X]
J.-J. Wang, N. Dobigeon, M. Chabert, D.-C. Wang, T.-Z. Huang and J. Huang, "CD-GAN: a robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors," Information Fusion, vol. 107, July 2024. [BIBT_{E}X]
V. Gilet, G. Mabilleau, M. Loumaigne, L. Coic, R. Vitale, Th. Oberlin, J. H. de M. Goulart, N. Dobigeon, C. Ruckebusch and D. Rousseau, "Superpixels meet essential spectra for fast Raman hyperspectral microimaging," Optics Express, vol. 32, no. 1, pp. 932-948, Jan. 2024. [BIBT_{E}X]
T. Ince and N. Dobigeon, "Spatial-spectral multiscale sparse unmixing of hyperspectral images," IEEE Geoscience and Remote Sensing Letters, vol. 20, Nov. 2023. [BIBT_{E}X]
M. Zhao, J. Chen and N. Dobigeon, "Guided deep generative model-based spatial regularization for multiband imaging inverse problems," IEEE Trans. Image Processing, vol. 32, pp. 5692-5704, Oct. 2023. [BIBT_{E}X]
L. Coic, R. Vitale, M. Moreau, D. Rousseau, J. H. de M. Goulart, N. Dobigeon and C. Ruckebusch, "Assessment of essential information in the Fourier domain to accelerate Raman hyperspectral microimaging," Analytical Chemistry, vol. 95, no. 42, pp. 15419-15832, Oct. 2023. [BIBT_{E}X]
T. Ince and N. Dobigeon, "A fast spatial-spectral NMF for hyperspectral unmixing," IEEE Geoscience and Remote Sensing Letters, vol. 20, June 2023. [BIBT_{E}X]
N. Granot, T. Diskin, N. Dobigeon and A. Wiesel, "Probabilistic simplex component analysis by importance sampling," IEEE Signal Processing Letters, vol. 30, pp. 683-687, June 2023. [BIBT_{E}X]
Y. Cruz Cavalcanti, Th. Oberlin, V. Ferraris, N. Dobigeon, M. Ribeiro and C. Tauber, "Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images," Medical Image Analysis, vol. 84, no. 102689, Feb. 2023. [BIBT_{E}X]
T. Ince and N. Dobigeon, "Fast hyperspectral unmixing using a multiscale sparse regularization,"
IEEE Geoscience and Remote Sensing Letters, vol. 19, Oct. 2022.
[BIBT_{E}X]
Related webpage: .
T. Ince and N. Dobigeon, "Weighted residual NMF with spatial regularization for
hyperspectral unmixing," IEEE Geoscience and Remote Sensing Letters, vol. 19, June. 2022.
[BIBT_{E}X]
Related webpage: .
M. Zhao, S. Shi, J. Chen and N. Dobigeon, "A 3D-CNN framework for hyperspectral unmixing with spectral variability,"
IEEE Trans. Geoscience and Remote Sensing, vol. 60, pp. 1-14, Jan. 2022.
[BIBT_{E}X]
M. Vono, N. Dobigeon and P. Chainais, "High-dimensional Gaussian sampling:
a review and a unifying approach based on a stochastic proximal point algorithm," SIAM Review, vol. 64, no. 1, pp. 3-56, 2022.
[BIBT_{E}X]
Python library: .
C. Kervazo, N. Gillis and N. Dobigeon, "Provably robust blind source separation of linear-quadratic
near-separable mixtures," SIAM J. Imaging Sciences, vol. 14, no. 4, pp. 1848-1889, Dec. 2021
[BIBT_{E}X]
Matlab code: .
M. Vono, N. Dobigeon and P. Chainais, "Asymptotically exact data augmentation: models, properties and algorithms,
Journal of Computational and Graphical Statistics, vol. 30, no. 2, pp. 335-348, 2021.
[BIBT_{E}X]
Related webpage: .
C. Guilloteau, Th. Oberlin, O. Berné and N. Dobigeon, "Hyperspectral and multispectral image fusion under spectrally varying spatial blurs - Application to high dimensional infrared
astronomical imaging," IEEE Trans. Computational Imaging, vol. 6, pp. 1362-1374, Sept. 2020.
[BIBT_{E}X]
Related webpage: .
V. Ferraris, N. Dobigeon and M. Chabert, "Robust fusion algorithms for unsupervised change detection between multi-band optical images -
A comprehensive case study," Information Fusion, vol. 64, pp. 293-317, Dec. 2020. [BIBT_{E}X]
Related webpage: .
T. Uezato, M. Fauvel and N. Dobigeon, "Hierarchical sparse nonnegative matrix factorization for hyperspectral unmixing with spectral variability," Remote Sensing, vol. 12, no. 14, July 2020. [BIBT_{E}X]
C. Guilloteau, Th. Oberlin, O. Berné, É. Habart and N. Dobigeon, "Simulated JWST datasets for multispectral and
hyperspectral image fusion," The Astronomical Journal, vol. 160, no. 1, June 2020.
[BIBT_{E}X]
Related webpage: .
E. Monier, Th. Oberlin, N. Brun, X. Li, M. Tencé and N. Dobigeon, "Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling,"
Ultramicroscopy, vol. 2020, no. 112993, Aug. 2020.
[BIBT_{E}X]
Related webpage: .
A. Lagrange, M. Fauvel, S. May and N. Dobigeon, "Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images,"
IEEE Trans. Geoscience and Remote Sensing, vol. 58, no. 7, pp. 4915-4927, July 2020.
[BIBT_{E}X]
Related webpage: .
A. Lagrange, M. Fauvel, S. May, J. M. Bioucas-Dias and N. Dobigeon, "Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysis,"
Neurocomputing, vol. 385, pp. 132-147, Apr. 2020.
[BIBT_{E}X]
Related webpage: .
V. Ferraris, N. Dobigeon, Y. Cruz Cavalcanti, Th. Oberlin and M. Chabert, "Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images,"
Computer Vision and Image Understanding, vol. 189, no. 102817, Dec. 2019.
[BIBT_{E}X]
Related webpage: .
J. Sodjo, A. Giremus, N. Dobigeon and F. Caron, "A Bayesian nonparametric model for unsupervised joint segmentation of a collection of images," IEEE Access, vol. 7, no. 1, pp. 120176-120188, Dec. 2019. [BIBT_{E}X]
S. Rashwan, N. Dobigeon, W. Sheta and H. Hassan, "Non-linear unmixing of hyperspectral images using multiple-kernel self-organizing maps," IET Image Processing, vol. 13, no. 12, pp. 2190-2195, Oct. 2019. [BIBT_{E}X]
Y. Cruz Cavalcanti, Th. Oberlin, N. Dobigeon, C. Févotte, S. Stute, M. Ribeiro and C. Tauber, "Factor analysis of dynamic PET images: beyond Gaussian noise," IEEE Trans. Med. Imaging, vol. 38, no. 9, pp. 2231-2241, Sept. 2019. [BIBT_{E}X]
T. Uezato, M. Fauvel and N. Dobigeon, "Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity," IEEE Trans. Geoscience and Remote Sensing, vol. 57, no. 6, pp. 3980-3992, June 2019. [BIBT_{E}X]
P.-A. Thouvenin, N. Dobigeon and J.-Y. Tourneret, "Partially asynchronous distributed unmixing of hyperspectral images," IEEE Trans. Geoscience and Remote Sensing, vol. 57, no. 4, pp. 2009-2021, April 2019. [BIBT_{E}X]
Related webpage: .
M. Vono, N. Dobigeon and P. Chainais, "Split-and-augmented Gibbs sampler - Application to large scale inverse problems," IEEE Trans. Signal Processing, vol. 67, no. 6, pp. 1648-1661, March 2019. [BIBT_{E}X]
Related webpage:
A. Lagrange, M. Fauvel, S. May and N. Dobigeon, "Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning," Pattern Recognition, vol. 85, pp. 26-36, Jan. 2019. [BIBT_{E}X]
Related webpage: .
E. Monier, Th. Oberlin, N. Brun, M. Tencé, M. de Frutos and N. Dobigeon, "Reconstruction of partially sampled multi-band
images - Application to EELS microscopy," IEEE Trans. Computational Imaging, vol. 4, no. 4, pp. 585-598, Dec. 2018.
[BIBT_{E}X]
Related webpage: .
Y. Cruz Cavalcanti, Th. Oberlin, N. Dobigeon, S. Stute, M. Ribeiro and C. Tauber, "Unmixing dynamic PET images with variable specific binding kinetics," Medical Image Analysis, vol. 49, pp. 117-127, Oct. 2018. [BIBT_{E}X]
T. Uezato, M. Fauvel and N. Dobigeon, "Hyperspectral image unmixing with LiDAR data-aided spatial regularization," IEEE Trans. Geoscience and Remote Sensing, vol. 56, no. 7, pp. 4098-4108, July 2018. [BIBT_{E}X]
V. Ferraris, N. Dobigeon, Q. Wei and M. Chabert, "Detecting changes between optical images of different spatial and spectral resolutions: a fusion-based approach," IEEE Trans. Geoscience and Remote Sensing, vol. 56, no. 3, pp. 1566-1578, March 2018. [BIBT_{E}X]
Related webpage: .
H. Shen, X. Jia, J. M. Bioucas-Dias, N. Dobigeon, Y. Cui and F. Pacifici, "Foreword to the Special Issue on Quality Improvements of Remote Sensing Data," IEEE J. Sel. Topics Applied Earth Observations and Remote Sensing, vol. 11, no. 3, pp. 687-690, March 2018. [BIBT_{E}X]
P.-A. Thouvenin, N. Dobigeon and J.-Y. Tourneret, "A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images," IEEE Trans. Computational Imaging, vol. 4, no. 1, pp 32--45, Jan. 2018.
[BIBT_{E}X]
Related webpage: .
J. Frecon, N. Pustelnik, N. Dobigeon, H. Wendt and P. Abry, "Bayesian selection for the l_{2}-Potts model regularization parameter: 1D piecewise constant signal denoising," IEEE Trans. Signal Processing, vol. 65, no. 19, pp. 5215-5224, Oct. 2017. [BIBT_{E}X]
Related webpage: .
S. Rashwan and N. Dobigeon, "A split-and-merge approach for hyperspectral band selection," IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 8, pp. 1378-1382, Aug. 2017. [BIBT_{E}X]
Related webpage: .
V. Ferraris, N. Dobigeon, Q. Wei and M. Chabert, "Robust fusion of multi-band images with different spatial and spectral resolutions for change detection," IEEE Trans. Computational Imaging, vol. 3, no. 2, pp. 175-186, April 2017. [BIBT_{E}X]
Related webpage: .
A. Halimi, J. M. Bioucas-Dias, N. Dobigeon, G. S. Buller and S. McLaughlin, "Fast hyperspectral unmixing in presence of nonlinearity or mismodelling effects," IEEE Trans. Computational Imaging, vol. 3, no. 2, pp. 146-159, April 2017. [BIBT_{E}X]
C. Elvira, P. Chainais and N. Dobigeon, "Bayesian anti-sparse coding," IEEE Trans. Signal Processing, vol. 65, no. 7, pp. 1660-1672, April 2017. [BIBT_{E}X]
Related webpage: .
N. Pustelnik, P. Abry, H. Wendt and N. Dobigeon, "Combining local regularity estimation and total variation optimization for scale-free texture segmentation," IEEE Trans. Computational Imaging, vol. 2, no. 4, pp. 468-479, Dec. 2016. [BIBT_{E}X]
Related webpage: .
Q. Wei, J. M. Bioucas-Dias, N. Dobigeon, J.-Y. Tourneret, M. Chen and S. Godsill, "Multi-band image fusion based on spectral unmixing," IEEE Trans. Geoscience and Remote Sensing, vol. 54, no. 12, pp. 7236-7249, Dec. 2016. [BIBT_{E}X]
Related webpage: .
Q. Wei, N. Dobigeon, J.-Y. Tourneret, J. M. Bioucas-Dias and S. Godsill, "R-FUSE: robust fast fusion of multi-band images based on solving a Sylvester equation," IEEE Signal Processing Letters, vol. 23, no. 11, pp. 1632-1636, Nov. 2016. [BIBT_{E}X]
Related webpage: .
P.-A. Thouvenin, N. Dobigeon and J.-Y. Tourneret, "Online unmixing of multitemporal hyperspectral images accounting for spectral variability," IEEE Trans. Image Processing, 2016, vol. 25, no. 9, pp. 3979-3990, Sept. 2016. [BIBT_{E}X]
Related webpage: and
N. Zhao, Q. Wei, A. Basarab, N. Dobigeon, D. Kouamé and J.-Y. Tourneret, "Fast single image super-resolution using a new analytical solution for l_{2}-l_{2} problems," IEEE Trans. Image Processing, vol. 25, no. 8, pp. 3683-3697, Aug. 2016. [BIBT_{E}X]
Related webpage: .
H. Wendt, N. Dobigeon, J.-Y. Tourneret, M. Albinet, C. Goldstein and N. Karouche, "Detection and correction of glitches in a multiplexed multi-channel data stream - Application to the MADRAS instrument," IEEE Trans. Geoscience and Remote Sensing, vol. 54, no. 5, pp. 2803-2811, May 2016. [BIBT_{E}X]
Related webpage: .
P.-A. Thouvenin, N. Dobigeon and J.-Y. Tourneret, "Hyperspectral unmixing with spectral variability using a perturbed linear mixing model," IEEE Trans. Signal Processing, vol. 64, no. 2, pp. 525-538, Feb. 2016. [BIBT_{E}X]
Related webpages: and
.
A. Halimi, N. Dobigeon and J.-Y. Tourneret "Unsupervised unmixing of hyperspectral images accounting for endmember variability," IEEE Trans. Image Processing, vol. 24, no. 12, pp. 4904-4917, Dec. 2015. [BIBT_{E}X]
Related webpage:
C. Févotte and N. Dobigeon, "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization," IEEE Trans. Image Processing, vol. 24, no. 12, pp. 4810-4819, Dec. 2015. [BIBT_{E}X]
Related webpage: .
Q. Wei, N. Dobigeon and J.-Y. Tourneret, "Fast fusion of multi-band images based on solving a Sylvester equation," IEEE Trans. Image Processing, vol. 24, no. 11, pp. 4109-4121, Nov. 2015. [BIBT_{E}X]
Related webpage: .
L. Loncan, L. B. Almeida, J. M. Bioucas-Dias, X. Briottet, J. Chanussot, N. Dobigeon, S. Fabre, W. Liao, G. Licciardi, M. Simoes, J.-Y. Tourneret, M. Veganzones, G. Vivone, Q. Wei and N. Yokoya, "Hyperspectral pansharpening: a review," IEEE Geoscience and Remote Sensing Mag., vol. 3, no. 3, pp. 27-46, Sept. 2015. [BIBT_{E}X]
Related webpage: .
Note: WoS Highly Cited Paper.
S. Combrexelle, H. Wendt, N. Dobigeon, J.-Y. Tourneret, S. McLaughlin and P. Abry, "Bayesian estimation of the multifractality parameter for image texture using a Whittle approximation," IEEE Trans. Image Processing, vol. 24, no. 8, pp. 2540-2551, Aug. 2015. [BIBT_{E}X]
Related webpage: .
Q. Wei, N. Dobigeon and J.-Y. Tourneret, "Bayesian fusion of multi-band images," IEEE J. Sel. Topics Signal Processing, vol. 9, no. 6, pp. 1117-1127, Sept. 2015. [BIBT_{E}X]
Related webpage: .
Q. Wei, J. M. Bioucas Dias, N. Dobigeon and J.-Y. Tourneret, "Hyperspectral and multispectral image fusion based on a sparse representation," IEEE Trans. Geoscience and Remote Sensing, vol. 53, no. 7, pp. 3658-3668, July 2015. [BIBT_{E}X]
Related webpage: .
Note: WoS Highly Cited Paper.
O. Chabiron, F. Malgouyres, J.-Y. Tourneret and N. Dobigeon, "Toward fast transform learning," Int. J. Computer Vision, vol. 114, no. 2, pp. 195-216, Sept. 2015. [BIBT_{E}X]
Related webpage: .
N. Dobigeon, L. Tits, B. Somers, Y. Altmann and P. Coppin, "A comparison of nonlinear mixing models for vegetated areas using simulated and real hyperspectral data," IEEE J. Sel. Topics Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 1869-1878, June 2014. [BIBT_{E}X]
Related webpage: .
Y. Altmann, N. Dobigeon and J.-Y. Tourneret, "Unsupervised post-nonlinear unmixing of hyperspectral images using a Hamiltonian Monte Carlo algorithm," IEEE Trans. Image Processing, vol. 23, no. 6, pp. 2663-2675, June 2014. [BIBT_{E}X]
Y. Altmann, N. Dobigeon, S. McLaughlin and J.-Y. Tourneret, "Residual component analysis of hyperspectral images - Application to joint nonlinear unmixing and nonlinearity detection," IEEE Trans. Image Processing, vol. 23, no. 5, pp. 2148-2158, May 2014. [BIBT_{E}X]
O. Besson, N. Dobigeon and J.-Y. Tourneret, "Joint Bayesian estimation of close subspaces from noisy measurements," IEEE Signal Processing Letters, vol. 21, no. 2, pp. 168-171, Feb. 2014. [BIBT_{E}X]
N. Dobigeon, J.-Y. Tourneret, C. Richard, J. C. M. Bermudez, S. McLaughlin and A. O. Hero, "Nonlinear unmixing of hyperspectral images: models and algorithms," IEEE Signal Processing Magazine, vol. 31, no. 1, pp. 82-94, Jan. 2014. [BIBT_{E}X]
Related webpage: .
Note: WoS Highly Cited Paper.
M. Pereyra, N. Dobigeon, H. Batatia and J.-Y. Tourneret, "Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models," IEEE Signal Processing Letters, vol. 21, no. 1, pp. 47-50, Jan. 2014. [BIBT_{E}X]
S.-U. Park, N. Dobigeon and A. O. Hero, "Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM," Signal Processing, vol. 94, pp. 386-400, Jan. 2014. [BIBT_{E}X]
M. Pereyra, N. Dobigeon, H. Batatia and J.-Y. Tourneret, "Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm," IEEE Trans. Image Processing, vol. 22, no. 6, pp. 2385-2397, June 2013. [BIBT_{E}X]
C. Bazot, N. Dobigeon, J.-Y. Tourneret, A. K. Zaas, G. S. Ginsburg and A. O. Hero III, "Unsupervised Bayesian linear unmixing of gene expression microarrays," BMC Bioinformatics, vol. 14, no. 99, March 2013.
[BIBT_{E}X]
Related webpage: .
Supplementary material: .
Y. Altmann, N. Dobigeon, S. McLaughlin and J.-Y. Tourneret, "Nonlinear spectral unmixing of hyperspectral images using Gaussian processes," IEEE Trans. Signal Processing, vol. 61, no. 10, pp. 2442-2453, May 2013. [BIBT_{E}X]
Y. Altmann, N. Dobigeon and J.-Y. Tourneret, "Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model," IEEE Trans. Image Processing, vol. 22, no. 4, pp. 1267-1276, Apr. 2013.
[BIBT_{E}X]
Related webpage: .
O. Eches, J. A. Benediktsson, N. Dobigeon, and J.-Y. Tourneret, "Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral image," IEEE Trans. Image Processing, vol. 22, no. 1, pp. 5-16, Jan. 2013. [BIBT_{E}X]
S.-U. Park, N. Dobigeon and A. O. Hero, "Semi-blind sparse image reconstruction with application to MRFM," IEEE Trans. Image Processing, vol. 21, no. 9, pp. 3838-3849, Sept. 2012. [BIBT_{E}X]
N. Dobigeon and N. Brun, "Spectral mixture analysis of EELS spectrum-images," Ultramicroscopy, vol. 120, pp. 25-34, Sept. 2012.
[BIBT_{E}X]
Related webpage: .
O. Besson, N. Dobigeon and J.-Y. Tourneret, "CS decomposition based Bayesian subspace estimation," IEEE Trans. Signal Processing, vol. 60, no. 8, pp. 4210-4218, Aug. 2012.
[BIBT_{E}X]
Related webpage: .
M. Pereyra, N. Dobigeon, H. Batatia and J.-Y. Tourneret, "Segmentation of skin lesions in 2D and 3D ultrasound images using a spatially coherent generalized Rayleigh mixture model," IEEE Trans. Med. Imaging, vol. 31, no. 8, pp. 1509-1520, Aug. 2012.
[BIBT_{E}X]
Related webpage: .
G. Kail, J.-Y. Tourneret, F. Hlawatsch, and N. Dobigeon, "Blind Deconvolution of Sparse Pulse Sequences under a Minimum Distance Constraint: A Partially Collapsed Gibbs Sampler Method," IEEE Trans. Signal Processing, vol. 60, no. 6, pp. 2727-2743, June 2012. [BIBT_{E}X]
Y. Altmann, A. Halimi, N. Dobigeon and J.-Y. Tourneret, "Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery," IEEE Trans. Image Processing, vol. 21, no. 6, pp. 3017-3025, June 2012.
[BIBT_{E}X]
Related webpage: .
J. M. Bioucas-Dias, A. Plaza, N. Dobigeon, M. Parente, Q. Du, P. Gader and J. Chanussot, "Hyperspectral unmixing overview: geometrical, statistical, and sparse regression-based approaches," IEEE J. Sel. Topics Applied Earth Observations and Remote Sensing, vol. 5, no. 2, pp. 354-379, April 2012.
[BIBT_{E}X]
Related webpage: .
Note: WoS Highly Cited Paper.
R. Mittelman, N. Dobigeon, A. O. Hero, "Hyperspectral image unmixing using a multiresolution sticky HDP," IEEE Trans. Signal Processing, vol. 60, no. 4, pp. 1656-1671, Apr. 2012.
[BIBT_{E}X]
Reproducible research materials: .
O. Besson, N. Dobigeon and J.-Y. Tourneret, "Minimum mean square distance estimation of a subspace," IEEE Trans. Signal Processing, vol. 59, no. 12, pp. 5709-5720, Dec. 2011.
[BIBT_{E}X]
Related webpage: .
O. Eches, N. Dobigeon and J.-Y. Tourneret, "Enhancing hyperspectral image unmixing with spatial correlations," IEEE Trans. Geoscience and Remote Sensing, vol. 49, no. 11, pp. 4239-4247, Nov. 2011.
[BIBT_{E}X]
A. Halimi, Y. Altmann, N. Dobigeon and J.-Y. Tourneret, "Nonlinear unmixing of hyperspectral images using a generalized bilinear model," IEEE Trans. Geoscience and Remote Sensing, vol. 49, no. 11, pp. 4153-4162, Nov. 2011.
[BIBT_{E}X]
Related webpage: .
Erratum: .
Y. Huang, A. K. Zaas, A. Rao, N. Dobigeon, P. Woolf, T. Veldman, N. C. Øien, M. T. McClain, J. B. Varkey, B. Nicholson, L. Carin, S. Kingsmore, C. W. Woods, G. S. Ginsburg and A. O. Hero III, "Temporal dynamics of host molecular responses differentiate symptomatic and asymptomatic Influenza A infection," PLoS Genetics, vol. 7, no. 8, pp. e1002234, Aug. 2011.
[BIBT_{E}X]
Related webpage: .
Also available online: . Reproducible research materials: .
Press releases: Univ. of Michigan: &
INP Toulouse: .
Articles in popular press: .
F. Schmidt, M. Guiheneuf, S. Moussaoui, E Tréguier, A. Schmidt and N. Dobigeon, "Implementation strategies for hyperspectral unmixing using Bayesian source separation," IEEE Trans. Geoscience and Remote Sensing, vol. 48, no. 11, pp. 4003-4013, Nov. 2010.
[BIBT_{E}X]
Related webpage: .
O. Eches, N. Dobigeon and J.-Y. Tourneret, "Estimating the number of endmembers in hyperspectral images using the normal compositional model and a hierarchical Bayesian algorithm," IEEE J. Sel. Topics Signal Processing, vol. 3, no. 3, pp. 582-591, June 2010.
[BIBT_{E}X]
Related webpage: .
O. Eches, N. Dobigeon, C. Mailhes and J.-Y. Tourneret, "Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imagery," IEEE Trans. Image Processing, vol. 19, no. 6, pp. 1403-1413, June 2010.
[BIBT_{E}X]
Related webpage: .
N. Dobigeon and J.-Y. Tourneret, "Bayesian orthogonal component analysis for sparse representation," IEEE Trans. Signal Processing, vol. 58. no. 5, pp. 2675-2685, May 2010.
[BIBT_{E}X]
Related webpage: .
N. Dobigeon, S. Moussaoui, J.-Y. Tourneret and C. Carteret, "Bayesian separation of spectral sources under non-negativity and full additivity constraints," Signal Processing, vol. 89, no. 12, pp. 2657-2669, Dec. 2009.
[BIBT_{E}X]
Related webpage: .
N. Dobigeon, S. Moussaoui, M. Coulon, J.-Y. Tourneret and A. O. Hero, "Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery," IEEE Trans. Signal Processing, vol. 57, no. 11, pp. 4355-4368, Nov. 2009.
[BIBT_{E}X]
Related webpage: .
N. Dobigeon, A. O. Hero and J.-Y. Tourneret, "Hierarchical Bayesian sparse image reconstruction with application to MRFM," IEEE Trans. Image Processing, vol. 18, no. 9, pp. 2059-2070, Sept. 2009.
[BIBT_{E}X]
Related webpage: .
N. Dobigeon, J.-Y. Tourneret and C.-I Chang, "Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery," IEEE Trans. Signal Processing, vol. 56, no. 7, pp. 2684-2695, Jul. 2008.
[BIBT_{E}X]
Related webpage: .
N. Dobigeon and J.-Y. Tourneret, "Joint segmentation of wind speed and direction using a hierarchical model," Computational Statistics & Data Analysis, vol. 51, no. 12, pp. 5603-5621, Aug. 2007.
[BIBT_{E}X]
N. Dobigeon, J.-Y. Tourneret and M. Davy, "Joint segmentation of piecewise constant autoregressive processes by using a hierarchical model and a Bayesian sampling approach," IEEE Trans. Signal Processing, vol. 55, no. 4, pp. 1251-1263, April 2007.
[BIBT_{E}X]
Related webpage: .
N. Dobigeon, J.-Y. Tourneret and J. D. Scargle, "Joint segmentation of multivariate astronomical time series: Bayesian sampling with a hierarchical model," IEEE Trans. Signal Processing, vol. 55, no. 2, pp. 414-423, Feb. 2007.
[BIBT_{E}X]
Related webpage: .
C. Calastrenc, F. Baleux, N. Poirier, Ch. Rendu, P. Campmajo, N. Dobigeon, N. Mellado, C. Marais-Sicre,
M.-C. Bal, M. Philippe, M. Llubes,
"Arqueo 2.0: New methods for archaeological surveys in mountain areas ,"
Treballs d'Arqueologia, vol. 26, no. 6, pp.95-109, Dec. 2023.
[BIBT_{E}X]
N. Dobigeon, S. Moussaoui, M. Coulon, J.-Y. Tourneret and A. O. Hero,
"Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé d'images hyperspectrales," Traitement du Signal, vol. 27, no. 1, pp.79-108, Aug. 2010.
[BIBT_{E}X]
Note: Invited paper.
S. Moussaoui, L. T. Duarte, N. Dobigeon and C. Jutten, "Bayesian source separation," in Source separation in physical-chemical sensing, C. Jutten, S. Moussaoui and L.-T. Duarte, Ed. U.K.: John Wiley & Sons, Electronics & Communications Engineering Series, 2024. [BIBT_{E}X]
N. Dobigeon, Y. Altmann, N. Brun and S. Moussaoui, "Linear and nonlinear unmixing in hyperspectral imaging," in Resolving spectral mixtures - With application from ultrafast time-resolved spectroscopy to superresolution imaging, C. Ruckebusch, Ed. Oxford, U.K.: Elsevier, vol. 30, Data Handling in Science and Technology Series, 2016, pp. 185-224. [BIBT_{E}X]
N. Dobigeon, S. Moussaoui, M. Coulon, J.-Y. Tourneret and A. O. Hero, "MCMC algorithms for supervised and unsupervised linear unmixing of hyperspectral images," in New Concepts in Imaging: Optical and Statistical Models, D. Mary, C. Theys and C. Aime, Eds. Les Ulis, France: EDP Sciences, vol. 59, EAS Publications Series, 2013, pp. 381-401.
[BIBT_{E}X]
Note: A follow-up of the Thematic School on Image Reconstruction.
X. Zhang, I. Cognard and N. Dobigeon, "A supervised deep learning approach for enhanced pulsar observation through combined
RFI detection and restoration," in Proc. XXXII IAU General Assembly, Cape Town, South Africa, Aug. 2024.
[BIBT_{E}X]
X. Zhang, I. Cognard and N. Dobigeon, "A deep neural network to restore pulsar dynamic spectra corrupted by
radio frequency interferences," in Proc. SPIE Astronomical Telescopes + Instrumentation,
Yokohama, Japan, June 2024.
[BIBT_{E}X]
V. Gillet, G. Mabilleau, M. Loumaigne, L. Coic, R. Vitale, Th. Oberlin, H. Goulart, N. Dobigeon, C. Ruckebush and D. Rousseau,
"Influence of spatial noise on two-pass fast Raman hyperspectral microimaging based on essential information,"
in Proc. Focus on Microscopy (FOM), Genoa, Italy, March 2024.
[BIBT_{E}X]
F. Coeurdoux, N. Dobigeon and P. Chainais, "Sliced-Wasserstein normalizing flows:
beyond maximum likelihood learning," in Proc. European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, Oct. 2022.
[BIBT_{E}X]
C. Guilloteau, Th. Oberlin, O. Berné and N. Dobigeon, "Informed spatial regularizations for fast fusion of astronomical images,"
in Proc. IEEE Int. Conf. Image Processing (ICIP), Bordeaux, France, Oct. 2022.
[BIBT_{E}X]
F. Coeurdoux, N. Dobigeon and P. Chainais, "Learning optimal transport between two empirical distributions with
normalizing flows," in Proc. European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML-PKDD), Grenoble, France,
Sept. 2022. [BIBT_{E}X]
M. D. Fall, N. Dobigeon and P. Auzou, "A Bayesian estimation formulation to voxel-based lesion-symptom mapping," in Proc. European Signal Processing Conf. (EUSIPCO), Belgrade, Serbia, Sept. 2022. [BIBT_{E}X]
C. Kervazo, N. Gillis and N. Dobigeon, "Successive nonnegative projection algorithm for linear quadratic mixtures,"
in Proc. European Signal Processing Conf. (EUSIPCO), Amsterdam, Netherlands, August 2020, Jan. 2021. [BIBT_{E}X]
C. Kervazo, N. Gillis and N. Dobigeon, "Successive nonnegative projection algorithm for linear quadratic mixtures,"
in Int. Traveling Workshop Interactions between Sparse models and Technology (iTWIST), Nantes, France, Dec. 2020, Jan. 2021.
[BIBT_{E}X]
C. Guilloteau, Th. Oberlin, O. Berné and N. Dobigeon, "Fusion of hyperspectral and multispectral infrared astronomical images,"
in Proc. Workshop on Sensor Array and Multichannel Signal Processing (SAM), Hangzhou, China, June 2020. [BIBT_{E}X]
V. Ferraris, N. Dobigeon, Y. Cavalcanti, Th. Oberlin and Marie Chabert, "Unsupervised change detection for multimodal remote sensing images via coupled dictionary learning and sparse coding," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020. [BIBT_{E}X]
A. Lagrange, M. Fauvel, S. May, J. M. Bioucas-Dias and N. Dobigeon, "Matrix cofactorization for joint unmixing and classification of hyperspectral images", in Proc. European Signal Processing Conf. (EUSIPCO), A Coruna, Spain, Sept. 2019. [BIBT_{E}X]
M. Vono, N. Dobigeon and P. Chainais, "On variable splitting for Markov chain Monte Carlo," in Proc. Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS), Toulouse, France, July 2019. [BIBT_{E}X]
Related webpage: .
E. Monier, Th. Oberlin, N. Brun and N. Dobigeon, "Reconstruction of partially sampled STEM-EELS images with atomic resolution," in Proc. Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS), Toulouse, France, July 2019. [BIBT_{E}X]
C. Guilloteau, Th. Oberlin, O. Berné and N. Dobigeon, "Fusion of hyperspectral and multispectral infrared astronomical images," in Proc. Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS), Toulouse, France, July 2019. [BIBT_{E}X]
M. Vono, N. Dobigeon and P. Chainais, "Bayesian image restoration under Poisson noise and log-concave prior," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Brighton, U.K., April 2019. [BIBT_{E}X]
Related webpage: .
M. Vono, N. Dobigeon and P. Chainais, "Efficient sampling through variable splitting-inspired Bayesian hierarchical models," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Brighton, U.K., April 2019. [BIBT_{E}X]
Related webpage: .
Y. Cruz Cavalcanti, Th. Oberlin, N. Dobigeon, C. Févotte, S. Stute and C. Tauber, "Unmixing dynamic PET images: combining spatial heterogeneity and non-Gaussian noise," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Brighton, U.K., April 2019. [BIBT_{E}X]
M. Vono, N. Dobigeon and P. Chainais, "Sparse Bayesian binary logistic regression using the split-and-augmented Gibbs sampler," in Proc. IEEE Int. Workshop Machine Learning for Signal Processing (MLSP), Aalborg, Denmark, Sept. 2018. [BIBT_{E}X]
Related webpage: . Note: Finalist of the Best Student Paper Award.
E. Monier, Th. Oberlin, N. Brun, M. De Frutos, M. Tencé and N. Dobigeon, "Reconstruction of partially sampled EELS images", in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Amsterdam, Netherlands, Sept. 2018. [BIBT_{E}X]
T. Uezato, M. Fauvel and N. Dobigeon, "A multiple endmember mixing model to handle spectral variability", in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Amsterdam, Netherlands, Sept. 2018. [BIBT_{E}X]
V. Ferraris, N. Yokoya, N. Dobigeon and M. Chabert, "A comparative study of fusion-based change detection methods for multi-band images with different spectral and spatial resolutions", in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Valencia, Spain, July 2018, pp. 5021-5024. [BIBT_{E}X]
T. Uezato, M. Fauvel and N. Dobigeon, "LiDAR-driven spatial regularization for hyperspectral unmixing", in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Valencia, Spain, July 2018, pp. 1740-1743. [BIBT_{E}X]
A. Lagrange, M. Fauvel, S. May and N. Dobigeon, "A Bayesian model for joint unmixing and robust classification of hyperspectral image", in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Calgary, Canada, April 2018, pp. 3399-3403. [BIBT_{E}X]
Y. Cruz Cavalcanti, Th. Oberlin, N. Dobigeon and C. Tauber, "Unmixing dynamic PET images with a PALM algorithm" Proc. European Signal Processing Conf. (EUSIPCO), Kos, Greece, Sept. 2017, pp. 425-429. [BIBT_{E}X]
P.-A. Thouvenin, N. Dobigeon and J.-Y. Tourneret, "Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations" Proc. European Signal Processing Conf. (EUSIPCO), Kos, Greece, Sept. 2017, pp. 2378-2382. [BIBT_{E}X]
E. Monier, Th. Oberlin, N. Brun, M. Tencé and N. Dobigeon, "Reconstruction of randomly and partially sampled STEM spectrum-images," Microscopy & MicroAnalysis (MM), vol. 23, no. 1, Saint Louis, USA, Aug. 2017, pp. 170-171. [BIBT_{E}X]
A. Halimi, J. Bioucas-Dias, N. Dobigeon, G. S. Buller and S. McLaughlin, "Fast hyperspectral unmixing in presence of sparse multiple scattering nonlinearities," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), New Orleans, USA, March 2017, pp. 3111-3115. [BIBT_{E}X]
C. Elvira, P. Chainais and N. Dobigeon, "Bayesian nonparametric subspace estimation," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), New Orleans, USA, 2017, pp. 2247-2251. [BIBT_{E}X]
Note: Student paper contest finalist.
J. Frecon, N. Pustelnik, N. Dobigeon, H. Wendt and P. Abry, "Bayesian-driven criterion to automatically select the regularization parameter in the l_{1}-Potts model," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), New Orleans, USA, March 2017, pp. 3839-3843. [BIBT_{E}X]
V. Ferraris, N. Dobigeon, Q. Wei and M. Chabert, "Change detection between multi-band images using a robust fusion-based approach," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), New Orleans, USA, March 2017, pp. 3346-3350. [BIBT_{E}X]
J. Sodjo, A. Giremus, N. Dobigeon and J.-F. Giovannelli, "A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), New Orleans, USA, March 2017, pp. 1882-1886. [BIBT_{E}X]
Q. Wei, J. M. Bioucas-Dias, N. Dobigeon, J.-Y. Tourneret and S. Godsill, "Blind model-based fusion of multi-band and panchromatic images," in Proc. IEEE Int. Conf. Multisensor Fusion Integration Intell. Syst. (MFI), Baden-Baden, Germany, Sept. 2016, pp. 21-25.
[BIBT_{E}X]
Y. Altmann, N. Brun, N. Dobigeon, K. March, S. Moussaoui and O. Schneegans, "Hyperspectral EELS image unmixing," IASIM Conference in Spectral Imaging, Chamonix, France, July 2016.
[BIBT_{E}X]
Q. Wei, S. Godsill, J. M. Bioucas-Dias, N. Dobigeon and J.-Y. Tourneret, "High-resolution Hyperspectral Image Fusion Based on Spectral Unmixing," in Proc. IEEE Int. Conf. Info. Fusion (FUSION), Heidelberg, Germany, July 2016, pp. 1714--1719.
[BIBT_{E}X]
J. Sodjo, A. Giremus, F. Caron, J.-F. Giovannelli and N. Dobigeon, "Joint segmentation of multiple images with shared classes: a Bayesian nonparametrics approach," in Proc. IEEE Workshop on Statistical Signal Processing (SSP), Palma de Mallorca, Spain, June 2016, pp. 1-5. [BIBT_{E}X]
C. Elvira, P. Chainais and N. Dobigeon, "Democratic prior for anti-sparse coding," in Proc. IEEE Workshop on Statistical Signal Processing (SSP), Palma de Mallorca, Spain, June 2016, pp. 1-5.. [BIBT_{E}X]
P.-A. Thouvenin, N. Dobigeon and J.-Y. Tourneret, "Unmixing multitemporal hyperspectral images with variability: an online algorithm," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Shangai, China, March 2016, pp. 3351-3355. [BIBT_{E}X]
Q. Wei, N. Dobigeon and J.-Y. Tourneret, "FUSE: a fast multi-band image fusion algorithm," IEEE Int. Workshop Comput. Adv. in Multi-Sensor Adaptive Process. (CAMSAP), Cancun, Mexico, Dec. 2015, pp. 161-164.
[BIBT_{E}X]
Note: Student paper contest finalist.
A. Halimi, N. Dobigeon, J.-Y. Tourneret, S. McLaughlin and P. Honeine, "Unmixing multitemporal hyperspectral images accounting for endmember variability," in Proc. European Signal Processing Conf. (EUSIPCO), Nice, France, Sept. 2015, pp. 1686-1690.
[BIBT_{E}X]
P.-A. Thouvenin, N. Dobigeon and J.-Y. Tourneret, "A perturbed linear mixing model accounting for spectral variability," in Proc. European Signal Processing Conf. (EUSIPCO), Nice, France, Sept. 2015, pp. 819-823.
[BIBT_{E}X]
Q. Wei, N. Dobigeon and J.-Y. Tourneret, "Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Tokyo, Japan, 2015.
[BIBT_{E}X]
A. Halimi, N. Dobigeon, J.-Y. Tourneret and P. Honeine, "Hyperspectral unmixing accounting for spatial correlations and endmember variability," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Tokyo, Japan, 2015.
[BIBT_{E}X]
L. Loncan, J. M. Bioucas-Dias, X. Briottet, J. Chanussot, N. Dobigeon, S. Fabre, W. Liao, G. Licciardi, M. Simoes, J.-Y. Tourneret, M. Veganzones, G. Vivone, Q. Wei and N. Yokoya "Comparison of nine hyperspectral pansharpening methods," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Milan, Italy, July 2015. [BIBT_{E}X]
A. Halimi, N. Dobigeon, J.-Y. Tourneret and P. Honeine, "A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Brisbane, Australia, Apr. 2015, pp. 2469-2473.
[BIBT_{E}X]
S. Combrexelle, H. Wendt, P. Abry, N. Dobigeon, J.-Y. Tourneret and S. McLaughlin, "A Bayesian approach for the joint estimation of the multifractality parameter and integral scale based on the Whittle approximation," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Brisbane, Australia, Apr. 2015, pp. 3886-3890.
[BIBT_{E}X]
Related webpage:
N. Pustelnik, P. Abry, H. Wendt and N. Dobigeon, "Inverse problem formulation for regularity estimation in images,"
in Proc. IEEE Int. Conf. Image Processing (ICIP), Paris, France, Oct. 2014, pp. 6081--6085.
[BIBT_{E}X]
Note: Top 10% Paper Award.
Q. Wei, N. Dobigeon and J.-Y. Tourneret, "Bayesian fusion of multispectral and hyperspectral images with unknown sensor spectral response," in Proc. IEEE Int. Conf. Image Processing (ICIP), Paris, France, Oct. 2014, pp. 698-702.
[BIBT_{E}X]
Note: Invited paper.
J. Frecon, N. Pustelnik, N. Dobigeon, H. Wendt and P. Abry, "Hybrid Bayesian variational scheme to handle parameter selection in total variation signal denoising," in Proc. European Signal Processing Conf. (EUSIPCO), Libon, Portugal, Sep. 2014, pp. 1716-1720.
[BIBT_{E}X]
Q. Wei, J. M. Bioucas-Dias, N. Dobigeon and J.-Y. Tourneret, "Fusion of multispectral and hyperspectral images based on sparse representation," in Proc. European Signal Processing Conf. (EUSIPCO), Libon, Portugal, Sep. 2014, pp. 1577-1581.
[BIBT_{E}X]
Note: Invited paper.
O. Chabiron, F. Malgouyres, J.-Y. Tourneret and N. Dobigeon, "Learning a fast transform with a dictionary,"
Int. Traveling Workshop Interactions between Sparse models and Technology (iTWIST), Namur, Belgium, Aug. 2014.
[BIBT_{E}X]
Y. Altmann, S. McLaughlin and N. Dobigeon, "Sampling from a multivariate gaussian distribution truncated on a simplex: a review," in Proc. IEEE Workshop on Statistical Signal Processing (SSP), Gold Coast, Australia, July 2014, pp. 113-116.
[BIBT_{E}X]
Note: Invited paper.
N. Dobigeon, L. Tits, B. Somers, Y. Altmann and P. Coppin, "Nonlinear unmixing of vegetated areas: a model comparison based on simulated and real hyperspectral data," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Lausanne, Switzerland, June 2014.
[BIBT_{E}X]
Note: Invited paper.
Y. Altmann, N. Dobigeon, J.-Y. Tourneret and S. McLaughlin, "Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014, pp. 3166-3170.
[BIBT_{E}X]
Q. Wei, N. Dobigeon and J.-Y. Tourneret, "Bayesian fusion of hyperspectral and multispectral images," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014, pp. 3176-3180.
[BIBT_{E}X]
L. Chaari, H. Batatia, N. Dobigeon and J.-Y. Tourneret, "A hierarchical sparsity-smoothness Bayesian model for L0-L1-L2 regularization," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014, pp. 1901-1905.
[BIBT_{E}X]
Y. Altmann, N. Dobigeon and J.-Y. Tourneret, "Bayesian unsupervised unmixing of hyperspectral images using a post-nonlinear model," in Proc. European Signal Processing Conf. (EUSIPCO), Marrakech, Marroco, Sept. 2013, pp. 1-5.
[BIBT_{E}X]
Note: Invited paper.
N. Dobigeon, and C. Févotte, "Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral images," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Gainesville, FL, June 2013.
[BIBT_{E}X]
Y. Altmann, N. Dobigeon, J.-Y. Tourneret and S. McLaughlin, "Nonlinear hyperspectral unmixing using Gaussian processes," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Gainesville, FL, June 2013.
[BIBT_{E}X]
Note: Invited paper and Best Paper Award.
Y. Altmann, N. Dobigeon, J.-Y. Tourneret and J. C. M. Bermudez, "A robust test for nonlinear mixture detection in hyperspectral images," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Vancouver, Canada, June 2013, pp. 2149-2153.
[BIBT_{E}X]
H. Wendt, N. Dobigeon, J.-Y. Tourneret and P. Abry, "Bayesian estimation for the multifractality parameter," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Vancouver, Canada, June 2013, pp. 6556-6560.
[BIBT_{E}X]
C. Bazot, N. Dobigeon, J.-Y. Tourneret and A. O. Hero, "Bayesian analysis of time-evolving gene expression data with hidden Markov model," in Proc. European Signal Processing Conf. (EUSIPCO), Bucharest, Romania, Sept. 2012, pp. 944-948.
[BIBT_{E}X]
N. Dobigeon, A. Basarab, J.-Y. Tourneret and D. Kouamé, "Regularized Bayesian compressed sensing in ultrasound imaging," in Proc. European Signal Processing Conf. (EUSIPCO), Bucharest, Romania, Sept. 2012, pp. 2600-2604.
[BIBT_{E}X]
Y. Altmann, N. Dobigeon and J.-Y. Tourneret, "Detecting nonlinear mixtures in hyperspectral images," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Shangai, China, June 2012.
[BIBT_{E}X]
Note: Invited paper.
O. Besson, N. Dobigeon and J.-Y. Tourneret, "Bayesian subspace estimation using CS decomposition," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Kyoto, Japan, March 2012, pp. 2437-2440.
[BIBT_{E}X]
Y. Altmann, N. Dobigeon, S. McLaughlin and J.-Y. Tourneret, "Nonlinear unmixing of hyperspectral images using Gaussian processes," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Kyoto, Japan, March 2012, pp. 1249-1252.
[BIBT_{E}X]
F. Schmidt, S. Bourguignon, S. Le Mouëlic, N. Dobigeon, E. Tréguier, "Constraining Martian mineralogical compositions using hyperspectral images," in Proc. Lunar and Planetary Science Conference (LPSC), vol. 43, The Woodlands, Texas, March 2012, paper 1659.
[BIBT_{E}X]
S.-U. Park, N. Dobigeon and A. O. Hero, "Variational semi-blind sparse image reconstruction with application to MRFM," in Proc. IS&T/SPIE Electronic Imaging, Computational Imaging X, C. A. Bouman, I. Pollak, and P. J. Wolfe, Eds., vol. 8296. Burlingame, CA: SPIE, Jan. 2012, paper 8296-15.
[BIBT_{E}X]
C. Quinsac, N. Dobigeon, A. Basarab, J.-Y. Tourneret and D. Kouamé, "Bayesian compressed sensing in ultrasound imaging," in Proc. IEEE Int. Workshop Comput. Adv. in Multi-Sensor Adaptive Process. (CAMSAP), San Juan, Puerto Rico, Dec. 2011, pp. 104-104.
[BIBT_{E}X]
Related webpage: .
Note: Invited paper.
O. Besson, N. Dobigeon and J.-Y. Tourneret, "Bayesian estimation of a subspace," in Rec. 45th IEEE Asilomar Conf. Signals, Systems and Computers, Pacific Grove, CA, Nov. 2011, pp. 629-633.
[BIBT_{E}X]
F. Schmidt, S. Bourguignon, S. Le Mouëlic, N. Dobigeon, C. Theys and E. Tréguier, "Accuracy and performance of linear unmixing techniques for detecting minerals on Omega/Mars Express," in Proc. European Planetary Science Congress (EPSC EuroPlanet), vol. 6, Nantes, France, Oct. 2011, paper 969-1.
[BIBT_{E}X]
E. Tréguier, F. Schmidt, S. Erard, A. Schmidt, A. Cardesín, P. Martin, P. Pinet, S. Moussaoui and N. Dobigeon, "Investigation of a small set of hyperspectral images through non-negative source separation," in Proc. European Planetary Science Congress (EPSC EuroPlanet), vol. 6, Nantes, France, Oct. 2011, paper 1852-1.
[BIBT_{E}X]
M. Pereyra, N. Dobigeon, H. Batatia and J.-Y. Tourneret, "Segmentation of high frequency ultrasound images using a spatially
coherent generalized Rayleigh mixture model," in Proc. European Signal Processing Conf. (EUSIPCO), Barcelona, Spain, Sept. 2011, pp. 664-668.
[BIBT_{E}X]
Related webpage: .
Note: Invited paper.
A. Halimi, Y. Altmann, N. Dobigeon, and J.-Y. Tourneret, "Unmixing hyperspectral images using the generalized bilinear model," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Sendai, Japan, Vancouver, Canada, July 2011, pp. 1886-1889.
[BIBT_{E}X]
Y. Altmann, A. Halimi, N. Dobigeon and J.-Y. Tourneret, "A polynomial post nonlinear model for hyperspectral image unmixing," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Sendai, Japan, Vancouver, Canada, July 2011, pp. 1882-1885.
[BIBT_{E}X]
Related webpage: .
Y. Altmann, N. Dobigeon, S. McLaughlin and J.-Y. Tourneret, "Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Sendai, Japan, Vancouver, Canada, July 2011, pp. 1151-1154.
[BIBT_{E}X]
Note: Invited paper.
Z. Irace, M. Pereyra, N. Dobigeon and H. Batatia, "Bayesian segmentation of chest tumors in PET Scans using a Poisson-Gamma mixture model," in Proc. IEEE Workshop on Statistical Signal Processing (SSP), Nice, France, June 2011, pp. 809-812.
[BIBT_{E}X]
A. Halimi, Y. Altmann, N. Dobigeon and J.-Y. Tourneret, "Nonlinear unmixing of hyperspectral images using a generalized bilinear model," in Proc. IEEE Workshop on Statistical Signal Processing (SSP), Nice, France, June 2011, pp. 413-416.
[BIBT_{E}X]
Related webpage: .
F. Schmidt, S. Bourguignon, S. Le Mouëlic, N. Dobigeon, C. Theys and E. Tréguier, "Accuracy and performance of linear unmixing techniques for detecting minerals on Omega/Mars Express," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Lisbon, Portugal, June 2011, pp. 1-4.
[BIBT_{E}X]
O. Eches, J. A. Benediktsson, N. Dobigeon and J.-Y. Tourneret, "Joint spectral classification and unmixing using adaptative pixel neighborhoods," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Lisbon, Portugal, June 2011, pp. 1-4.
[BIBT_{E}X]
Y. Altmann, N. Dobigeon and J.-Y. Tourneret, "Bilinear models for nonlinear unmixing of hyperspectral images," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Lisbon, Portugal, June 2011, pp. 1-4.
[BIBT_{E}X]
Related webpage: .
Note: Invited paper.
M. Pereyra, N. Dobigeon, H. Batatia and J.-Y. Tourneret, "Labeling skin tissues in ultrasound images using a generalized Rayleigh mixture model," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011, pp. 729-732.
[BIBT_{E}X]
Related webpage: .
O. Eches, N. Dobigeon, J.-Y. Tourneret and H. Snoussi, "Variational methods for spectral unmixing of hyperspectral unmixing," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011, pp. 957-960.
[BIBT_{E}X]
C. Bazot, N. Dobigeon, J.-Y. Tourneret and A. O. Hero, "Bernoulli-Gaussian model for gene expression analysis," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011, pp. 5996-5999.
[BIBT_{E}X]
Note: Invited paper.
Y. Altmann, A. Halimi, N. Dobigeon and J.-Y. Tourneret, "Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011, pp. 1009-1012.
[BIBT_{E}X]
Related webpage: .
A. Schmidt, E. Tréguier, F. Schmidt, S. Moussaoui and N. Dobigeon, "Non-negative Matrix Factorisation in Context," in Proc. European Geosciences Union General Assembly (EGU), vol. 13, Vienna, Austria, April 2011, paper 9072-1.
[BIBT_{E}X]
E. Tréguier, A. Schmidt, F. Schmidt, A. Cardesín, S. Erard, P. Martin, P. Pinet, S. Moussaoui and N. Dobigeon, "Analysis of a collection of planetary hyperspectral images through non-negative source separation," in Proc. European Geosciences Union General Assembly (EGU), vol. 13, Vienna, Austria, April 2011, paper 13174.
[BIBT_{E}X]
S.-U. Park, N. Dobigeon and A. O. Hero, "Myopic reconstruction and its application to MRFM data," in Proc. IS&T/SPIE Electronic Imaging, Computational Imaging IX, C. A. Bouman, I. Pollak, and P. J. Wolfe, Eds., vol. 7873. San Francisco, CA: SPIE, Jan. 2011, pp. 787303/1-787303/14.
[BIBT_{E}X]
E. Tréguier, F. Schmidt, A. Schmidt, S. Moussaoui, N. Dobigeon, S. Erard, A. Cardesín, P. Pinet and P. Martin, "Investigating Martian and Venusian hyperspectral datasets through Positive Source Separation," in AGU Fall Meeting Abstracts, Dec. 2010, abstract #P53B-1518.
[BIBT_{E}X]
C. Bazot, N. Dobigeon, J.-Y. Tourneret and A. O. Hero, "Unsupervised Bayesian analysis of gene expression patterns," in Rec. 44th IEEE Asilomar Conf. Signals, Systems and Computers, Pacific Grove, CA, Nov. 2010, pp. 364-368.
[BIBT_{E}X]
Note: Invited paper.
A. Schmidt, E. Tréguier, F. Schmidt, M. Guiheneuf, S. Moussaoui, N. Dobigeon and C. Pelloquin, "Multi-Image Unsupervised Spectral Analysis," in Proc. European Planetary Science Congress (EPSC EuroPlanet), vol. 5, Roma, Italy, Sept. 2010, paper 590.
[BIBT_{E}X]
O. Eches, N. Dobigeon and J.-Y. Tourneret, "Unmixing hyperspectral images using Markov random fields," in Proc. Int. Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt), ser. AIP Conf. Proc., A. Mohammad-Djafari, J.-F. Bercher, and P. Bessière, Eds., vol. 1305, no. 1. Chamonix, France: AIP, July 2010, pp. 303-310.
[BIBT_{E}X]
Note: Invited paper.
F. Schmidt, A. Schmidt, E. Tréguier, S. Moussaoui and N. Dobigeon, "Accuracy and performance of optimized Bayesian source separation for hyperspectral unmixing," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Reykjavík, Iceland, June 2010, pp. 1-4.
[BIBT_{E}X]
O. Eches, N. Dobigeon and J.-Y. Tourneret, "Markov random fields for joint unmixing and segmentation of hyperspectral images," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Reykjavík, Iceland, June 2010, pp. 1-4.
[BIBT_{E}X]
Note: Invited paper.
A. Schmidt, F. Schmidt, E. Tréguier, S. Moussaoui and N. Dobigeon, "Matrix Approximation Techniques for Unsupervised Hyperspectral Data Analysis," in Proc. European Geosciences Union General Assembly (EGU), vol. 12, Vienna, Austria, May 2010, paper 10027-2.
[BIBT_{E}X]
E. Tréguier, F. Schmidt, A. Schmidt, M. Guiheneuf, S. Moussaoui, N. Dobigeon and P. Martin, "Applying new spectral unmixing technique to Martian hyperspectral data," in Proc. European Geosciences Union General Assembly (EGU), vol. 12, Vienna, Austria, May 2010, paper 12824-1.
[BIBT_{E}X]
G. Kail, J.-Y. Tourneret, F. Hlawatsch and N. Dobigeon, "A partially collapsed Gibbs sampler for parameters with local constraints," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Dallas, USA, March 2010, pp. 3886-3889.
[BIBT_{E}X]
O. Eches, N. Dobigeon and J.-Y. Tourneret, "A reversible-jump MCMC algorithm for estimating the number of endmembers in the normal compositional model. Application to the unmixing of hyperspectral images," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Dallas, USA, March 2010, pp. 1222-1225.
[BIBT_{E}X]
N. Dobigeon, S. Moussaoui, M. Coulon, J.-Y. Tourneret and A. O. Hero, "Subspace-based Bayesian blind source separation
for hyperspectral imagery," in Proc. Proc. IEEE Int. Workshop Comput. Adv. in Multi-Sensor Adaptive Process. (CAMSAP), Aruba, Dutch Antilles, Dec. 2009, pp. 372-375.
[BIBT_{E}X]
Note: Invited paper.
F. Schmidt, S. Moussaoui and N. Dobigeon, "Material identification on hyperspectral images using Bayesian source separation," in Proc. European Planetary Science Congress (EPSC EuroPlanet), vol. 4, Potsdam, Germany, Sept. 2009, paper 289.
[BIBT_{E}X]
E. Tréguier, F. Schmidt, P. Pinet, P. Martin, C. d'Uston, S. Moussaoui and N. Dobigeon, "Multivariate approach for evaluating the composition of Meridiani spherules," in Proc. European Planetary Science Congress (EPSC EuroPlanet), vol. 4, Potsdam, Germany, Sept. 2009, paper 91. [BIBT_{E}X]
C. Theys, N. Dobigeon, J.-Y. Tourneret and H. Lantéri, "Linear unmixing of hyperspectral images using a scaled gradient method," in Proc. IEEE Workshop on Statistical Signal Processing (SSP), Cardiff, UK, Aug. 2009, pp. 729-732.
[BIBT_{E}X]
Related webpage: .
O. Eches, N. Dobigeon, C. Mailhes and J.-Y. Tourneret, "Unmixing hyperspectral images using a Normal Compositional Model and MCMC methods," in Proc. IEEE Workshop on Statistical Signal Processing (SSP), Cardiff, UK, Aug. 2009, pp. 646-649.
[BIBT_{E}X]
F. Schmidt, S. Moussaoui and N. Dobigeon, "Material identification on Martian hyperspectral images using Bayesian source separation," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Grenoble, France, Aug. 2009, pp. 1-4.
[BIBT_{E}X]
O. Eches, N. Dobigeon and J.-Y. Tourneret, "NCM-based Bayesian algorithm for hyperspectral unmixing," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Grenoble, France, Aug. 2009, pp. 1-4.
[BIBT_{E}X ]
N. Dobigeon, A. O. Hero and J.-Y. Tourneret, "Bayesian sparse image reconstruction for MRFM," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Taipei, ROC, April 2009, pp. 2933-2936.
[BIBT_{E}X]
N. Dobigeon and J.-Y. Tourneret, "Library-based linear unmixing for hyperspectral imagery via reversible jump MCMC sampling," in Proc. IEEE/AIAA Aerospace Conference (AeroConf), Big Sky, USA, March 2009, pp. 1-6.
[BIBT_{E}X]
Note: Invited paper.
N. Dobigeon and J.-Y. Tourneret, "MCMC sampling for joint segmentation of wind speed and direction," in Proc. IEEE Digital Signal Processing Workshop (DSP), Marco Island, USA, Jan. 2009, pp. 250-255.
[BIBT_{E}X]
Note: Invited paper.
N. Dobigeon, J.-Y. Tourneret and A. O. Hero III, "Bayesian linear unmixing of hyperspectral images corrupted by colored Gaussian noise with unknown covariance matrix," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Las Vegas, USA, March 2008, pp. 3433-3436.
[BIBT_{E}X]
N. Dobigeon, J.-Y. Tourneret and S. Moussaoui, "Blind unmixing of linear mixtures using a hierarchical Bayesian model. Application to spectroscopic signal analysis," in Proc. IEEE Workshop on Statistical Signal Processing (SSP), Madison, USA, Aug. 2007, pp. 79-83.
[BIBT_{E}X]
Note: IEEE SSP 2007 Workshop Travel Grant.
N. Dobigeon and J.-Y. Tourneret, "Spectral unmixing of hyperspectral images using a hierarchical Bayesian model," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), vol. 3, Honolulu, Hawaii, USA, April 2007, pp. 1209-1212.
[BIBT_{E}X]
Note: Student paper contest finalist.
N. Dobigeon, J.-Y. Tourneret and J. D. Scargle, "Joint segmentation of multivariate Poissonian time series. Applications to Burst and Transient Source Experiments," in Proc. European Signal Processing Conf. (EUSIPCO), Florence, Italy, Sept. 2006.
[BIBT_{E}X]
N. Dobigeon, J.-Y. Tourneret and M. Davy, "Joint segmentation of piecewise constant autoregressive processes by using a hierarchical model and a Bayesian sampling aproach," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), vol. 3, Toulouse, France, May 2006, pp. 1-4.
[BIBT_{E}X]
N. Dobigeon and V. Achard, "Performance comparison of geometric and statistical methods for endmembers extraction in hyperspectral imagery," in Proc. SPIE Image and Signal Processing for Remote Sensing XI, L. Bruzzone, Ed., vol. 5982, no. 1. Brugge, Belgium: SPIE, Oct. 2005, pp. 335-344.
[BIBT_{E}X]
N. Dobigeon, J.-Y. Tourneret and J. D. Scargle, "Change-point detection in astronomical data by using a hierarchical model and a Bayesian sampling approach," in Proc. IEEE Workshop on Statistical Signal Processing (SSP), Bordeaux, France, July 2005, pp. 369-374.
[BIBT_{E}X]
H. Kouakou, J. H. de M. Goulart, T. Oberlin, D. Rousseau, C. Ruckebusch and N. Dobigeon,
"Kalman filter based online spectral unmixing,"
in Actes du Colloque Chimiométrie, March 2024.
[BIBT_{E}X]
F. Coeurdoux, N. Dobigeon and P. Chainais, "Méthode MCMC plug-and-play avec a priori génératif profond,"
in Actes du XXIXième Colloque GRETSI, Sept. 2023.
[BIBT_{E}X]
C. Calastrenc, F. Baleux, N. Poirier, Ch. Rendu, P. Campmajo, N. Dobigeon, N. Mellado, C. Marais-Sicre, M.-C. Bal, M. Philippe and M. Llubes,
"Inspecter les montagnes autrement - Renouvellement méthodologique de la prospection archéologique des terrains d’altitude,"
in Actes des Rencontres Internationales d'Archéologie et d'Histoire, Oct. 2022.
[BIBT_{E}X]
F. Coeurdoux, N. Dobigeon and P. Chainais, "Approximation du transport optimal entre distributions empiriques par flux de normalisation,"
in Actes du XXVIIIième Colloque GRETSI, Sept. 2022.
[BIBT_{E}X]
M. D. Fall, N. Dobigeon and P. Auzou, "Approche bayésienne à l'estimation de la zone du langage chez des patients ayant eu un AVC,"
in Actes des 52ième Journées de Statistique de la Société Française de Statistique (SFdS), Sept. 2022.
[BIBT_{E}X]
A. Lagrange, M. Fauvel, S. May, J. M. Bioucas-Dias and N. Dobigeon, "Cofactorisation de matrices pour le démélange et la classification conjoints d'images hyperspectrales," in Actes du XXVIIième Colloque GRETSI, Sept. 2019.
[BIBT_{E}X]
C. Guilloteau, Th. Oberlin, O. Berné and N. Dobigeon, "Fusion d'images multispectrales et hyperspectrales pour l'observation en astronomie infrarouge," in Actes du XXVIIième Colloque GRETSI, Sept. 2019.
[BIBT_{E}X]
M. Vono, N. Dobigeon and P. Chainais, "Un modèle augmenté asymptotiquement exact pour la restauration bayésienne d'images dégradées par un bruit de Poisson," in Actes du XXVIIième Colloque GRETSI, Sept. 2019.
[BIBT_{E}X]
M. Vono, N. Dobigeon and P. Chainais, "Modèles augmentés asymptotiquement exacts," in Actes du XXVIIième Colloque GRETSI, Sept. 2019.
[BIBT_{E}X]
A. Lagrange, M. Fauvel, S. May, J. M. Bioucas-Dias and N. Dobigeon, "Cofactorisation de matrices pour le démélange et la classification conjoints d'images hyperspectrales", in Colloque du groupe SFPT-GH, Toulouse, France, July 2019. [BIBT_{E}X]
E. Monier, Th. Oberlin, N. Brun, M. Tencé, M. de Frutos and N. Dobigeon, "Reconstruction de spectres-images STEM-EELS partiellement échantillonnés," in Actes du XVIième Colloque de la Société Française des Microscopies (SFMu), July 2019, pp. 74-75.
[BIBT_{E}X]
A. Lagrange, M. Fauvel, S. May and N. Dobigeon, "Modèle bayésien hiérarchique pour le démélange et la classification robuste d'images hyperspectrales," in Actes de la Conférence Française de Photogrammétrie et de Télédétection (CFPT), June 2018.
[BIBT_{E}X]
J. Frecon, N. Pustelnik, N. Dobigeon, H. Wendt and P. Abry, "Sélection du paramètre de régularisation dans le problème l2-Potts," in Actes du XXVIième Colloque GRETSI, Sept. 2017.
[BIBT_{E}X]
E. Monier, Th. Oberlin, N. Brun and N. Dobigeon, "Reconstruction de spectres-images partiellement échantillonnés en microscopie EELS," in Actes du XXVIième Colloque GRETSI, Sept. 2017.
[BIBT_{E}X]
A. Lagrange, M. Fauvel, S. May and N. Dobigeon, "Un modèle bayésien pour le démélange, la segmentation et la classification robuste d'images hyperspectrales," in Actes du XXVIième Colloque GRETSI, Sept. 2017.
[BIBT_{E}X]
Y. Cruz Cavalcanti, Th. Oberlin, N. Dobigeon, S. Stute and C. Tauber, "Démélange d'images TEP dynamiques," in Actes du XXVIième Colloque GRETSI, Sept. 2017.
[BIBT_{E}X]
V. Ferraris, N. Dobigeon, Q. Wei and M. Chabert, "Détection de changements par fusion robuste d'images multi-bandes de résolutions spatiale et spectrale différentes," in Actes du XXVIième Colloque GRETSI, Sept. 2017.
[BIBT_{E}X]
C. Elvira, P. Chainais and N. Dobigeon, "Une formulation bayésienne du codage antiparcimonieux," in Actes du XXVIième Colloque GRETSI, Sept. 2017.
[BIBT_{E}X]
P.-A. Thouvenin, N. Dobigeon and J.-Y. Tourneret, "Une approche distribuée asynchrone pour la factorisation en matrices non-négatives -- Application au démélange hyperspectral," in Actes du XXVIième Colloque GRETSI, Sept. 2017.
[BIBT_{E}X]
P.-A. Thouvenin, N. Dobigeon and J.-Y. Tourneret, "Estimation de variabilité pour le démélange non-supervisé d'images hyperspectrales," in Actes du XXVième Colloque GRETSI, Sept. 2015.
[BIBT_{E}X]
S. Combrexelle, H. Wendt, J.-Y. Tourneret, N. Dobigeon, S. McLaughlin and P. Abry, "Estimation locale du paramètre de multifractalité à l'aide d'un algorithme de Monte Carlo Hamiltonien," in Actes du XXVième Colloque GRETSI, Sept. 2015.
[BIBT_{E}X]
H. Wendt, N. Dobigeon, J.-Y. Tourneret and P. Abry, "Estimation bayésienne du paramètre de multifractalité," in Actes du XXIVième Colloque GRETSI, Sept. 2013.
[BIBT_{E}X]
Z. Irace, M. Pereyra, N. Dobigeon and H. Batatia, "Un modèle Bayésien de mélange de lois Poisson-Gamma pour segmenter des images TEP," in Actes de la Conférence Reconnaissance des Formes et Intelligence Artificielle (RFIA), Lyon, France, Jan. 2012, in French.
[BIBT_{E}X]
M. Pereyra, N. Dobigeon, H. Batatia and J.-Y. Tourneret, "Un modèle de mélange de lois Rayleigh généralisées pour la classification des échographies cutanées," in Actes du XXIIIième Colloque GRETSI, Bordeaux, France, Sept. 2011, in French.
[BIBT_{E}X]
Y. Altmann, N. Dobigeon, S. McLaughlin and J.-Y. Tourneret, "Démélange non linéaire d'images hyperspectrales à l'aide de fonctions radiales de base et de moindres carrés orthogonaux," in Actes du XXIIIième Colloque GRETSI, Bordeaux, France, Sept. 2011, in French.
[BIBT_{E}X]
O. Eches, N. Dobigeon, J.-Y. Tourneret and H. Snoussi, "Méthodes variationnelles pour le démélange d'images hyperspectrales," in Actes du XXIIIième Colloque GRETSI, Bordeaux, France, Sept. 2011, in French.
[BIBT_{E}X]
C. Quinsac, N. Dobigeon, A. Basarab, J.-Y. Tourneret and D. Kouamé, "Echantillonnage compressé Bayésien en imagerie ultrasonore," in Actes du XXIIIième Colloque GRETSI, Bordeaux, France, Sept. 2011, in French.
[BIBT_{E}X]
C. Bazot, N. Dobigeon, J.-Y. Tourneret and A. O. Hero, "Modèle Bernoulli-Gaussien pour l'analyse génétique," in Actes du XXIIIième Colloque GRETSI, Bordeaux, France, Sept. 2011, in French.
[BIBT_{E}X]
N. Dobigeon, A. O. Hero and J.-Y. Tourneret, "Reconstruction bayésienne d'images MRFM parcimonieuses," in Actes du XXIIième Colloque GRETSI, Dijon, France, Sept. 2009, in French.
[BIBT_{E}X]
N. Dobigeon, S. Moussaoui, M. Coulon, J.-Y. Tourneret and A. O. Hero, "Extraction de composants purs et démélange linéaire bayésiens en imagerie hyperspectrale," in Actes du XXIIième Colloque GRETSI, Dijon, France, Sept. 2009, in French.
[BIBT_{E}X]
O. Eches, N. Dobigeon and J.-Y. Tourneret, "Analyse d'images hyperspectrales à l'aide d'un modèle de mélange de spectres aléatoires," in Actes du XXIIième Colloque GRETSI, Dijon, France, Sept. 2009, in French.
[BIBT_{E}X]
N. Dobigeon, S. Moussaoui and J.-Y. Tourneret, "Séparation Bayésienne de sources spectrales sous contraintes de positivité et d'additivité," in Actes du XXIième Colloque GRETSI, Troyes, France, Sept. 2007, in French.
[BIBT_{E}X]
N. Dobigeon and J.-Y. Tourneret, "Segmentation conjointe de données poissonniennes," in Actes du XXième Colloque GRETSI, vol. 1, Louvain-la-Neuve, Belgium, Sept. 2005, pp. 105-108, in French.
[BIBT_{E}X]
H. Wendt, N. Dobigeon and J.-Y. Tourneret "Procédé de détection et/ou de correction automatique d'erreurs dans un flux de données multiplexées," French Patent, FR 13 55645, Dec. 2014. [BIBT_{E}X]
N. Dobigeon, "Inférence bayésienne dans des problèmes inverses, myopes et aveugles en traitement du signal et des images," Habilitation à Diriger les Recherches, INP Toulouse, October 2012, in French.
[BIBT_{E}X]
Slides: .
Related webpage: .
N. Dobigeon, "Modèles bayésiens hiérarchiques pour le traitement multi-capteur," PhD. Thesis, INP Toulouse, October 2007, in French.
[BIBT_{E}X]
Slides: .
Related webpage: .
N. Dobigeon, "Choix et implantation d'une méthode d'extraction de pôles de mélange dans une image hyperspectrale," M.Sc. Thesis, INP-ENSEEIHT Toulouse, June 2004, in French.
[BIBT_{E}X]
T. Ince and N. Dobigeon, "Weighted Residual NMF with Spatial Regularization for Hyperspectral Unmixing -- Complementary results and supplementary materials,"
Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, May 2022. [BIBT_{E}X]
T. Uezato, M. Fauvel and N. Dobigeon, "Supplementary materials: Hierarchical sparse nonnegative matrix factorization for hyperspectral
unmixing with spectral variability,"
Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, July 2020. [BIBT_{E}X]
V. Ferraris, N. Dobigeon and M. Chabert, Robust fusion algorithms for unsupervised change detection between multi-band optical images - A comprehensive case study
- Complementary results,"
Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, June 2020. [BIBT_{E}X]
E. Monier, Th. Oberlin, N. Brun, X. Li, M. Tencé and N. Dobigeon, "Fast reconstruction of partially sampled STEM-EELS images at atomic-scale -
Complementary results," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Feb. 2020. [BIBT_{E}X]
A. Lagrange, M. Fauvel, S. May, J. M. Bioucas-Dias and N. Dobigeon, "Matrix cofactorization for joint representation learning and supervised classification -
Application to hyperspectral image analysis - Complementary results,"
Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Oct. 2019. [BIBT_{E}X]
Y. Cruz Cavalcanti, Th. Oberlin, N. Dobigeon, S. Stute, M. Ribeiro and C. Tauber, "Factor analysis of dynamic PET images: beyond Gaussian noise - Complementary results and supporting materials," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Dec. 2018. [BIBT_{E}X]
T. Uezato, M. Fauvel and N. Dobigeon, "Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity - Complementary results," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, April 2018. [BIBT_{E}X]
T. Uezato, M. Fauvel and N. Dobigeon, "Hyperspectral image unmixing with LiDAR data-aided spatial regularization - Complementary results," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Dec. 2017. [BIBT_{E}X]
Y. Cruz Cavalcanti, Th. Oberlin, N. Dobigeon, S. Stute, M. Ribeiro and C. Tauber, "Unmixing dynamic PET images with variable specific binding kinetics - Supporting materials," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Dec. 2017. [BIBT_{E}X]
V. Ferraris, N. Dobigeon, Q. Wei and M. Chabert, "Detecting changes between optical images of different spatial and spectral resolutions: a fusion-based approach - Complementary results," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Dec. 2016. [BIBT_{E}X]
P.-A. Thouvenin, N. Dobigeon and J.-Y. Tourneret, "A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images - Complementary results and supporting materials," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, May 2017. [BIBT_{E}X]
Q. Wei, N. Dobigeon, J.-Y. Tourneret, J. M. Bioucas-Dias and S. Godsill, "R-FUSE: robust fast fusion of multi-band images based on solving a Sylvester equation - Complementary results and supporting materials," Technical Report, Department of Engineering, University of Cambridge, July 2016. [BIBT_{E}X]
C. Elvira and P. Chainais and N. Dobigeon, "Bayesian anti-sparse coding - Complementary results and supporting materials," Technical Report, University of Lille, CNRS, CRIStAL and University of Toulouse, IRIT/INP-ENSEEIHT, July 2016. [BIBT_{E}X]
P.-A. Thouvenin, N. Dobigeon and J.-Y. Tourneret, "Online unmixing of multitemporal hyperspectral images accounting for spectral variability - Complementary results," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Oct. 2015. [BIBT_{E}X]
H. Wendt, N. Dobigeon, J.-Y. Tourneret, M. Albinet, C. Goldstein and N. Karouche, "Detection and Correction of Glitches in a Multiplexed Multi-channel Data Stream - Application to the MADRAS Instrument - Complementary results and supporting materials," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Oct. 2015. [BIBT_{E}X]
Q. Wei, N. Dobigeon and J.-Y. Tourneret, "Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method - Complementary results and supporting materials," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, March 2015. [BIBT_{E}X]
Q. Wei, N. Dobigeon and J.-Y. Tourneret, "Fast fusion of multi-band images based on solving a Sylvester equation - Complementary results and supporting materials," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Feb. 2015. [BIBT_{E}X]
Q. Wei, N. Dobigeon and J.-Y. Tourneret, "Bayesian fusion of multi-band images - Complementary results and supporting materials," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Feb. 2015. [BIBT_{E}X]
A. Halimi, N. Dobigeon and J.-Y. Tourneret, "Unsupervised unmixing of hyperspectral images accounting for endmember variability - Complementary results and supporting materials," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Dec. 2014. [BIBT_{E}X]
Q. Wei, J. M. Bioucas Dias, N. Dobigeon and J.-Y. Tourneret, "Hyperspectral and multispectral image fusion based on a sparse representation," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Oct. 2014. [BIBT_{E}X]
Y. Altmann, N. Dobigeon, S. McLaughlin and J.-Y. Tourneret, "Residual component analysis of hyperspectral images - Application to joint nonlinear unmixing and nonlinearity detection," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Nov. 2013.
[BIBT_{E}X]
Y. Altmann, N. Dobigeon, and J.-Y. Tourneret, "Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Oct. 2013.
[BIBT_{E}X]
Y. Altmann, N. Dobigeon, and J.-Y. Tourneret, "Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, March 2013.
[BIBT_{E}X]
Y. Altmann, N. Dobigeon, S. McLaughlin and J.-Y. Tourneret, "Nonlinear spectral unmixing of hyperspectral images using Gaussian processes," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Jul. 2012.
[BIBT_{E}X]
M. Pereyra, N. Dobigeon, H. Batatia and J.-Y. Tourneret, "Estimating the Granularity Parameter of a Potts-Markov Random field within an MCMC algorithm," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Apr. 2012.
[BIBT_{E}X]
O. Besson, N. Dobigeon and J.-Y. Tourneret, "CS decomposition based Bayesian subspace estimation," Technical Report, University of Toulouse, ISAE & IRIT/INP-ENSEEIHT, Feb. 2012.
[BIBT_{E}X]
M. Pereyra, N. Dobigeon, H. Batatia and J.-Y. Tourneret, "Segmentation of skin lesions in 2D and 3D ultrasound images using a spatially coherent generalized Rayleigh mixture model," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Dec. 2011.
[BIBT_{E}X]
Y. Altmann, N. Dobigeon and J.-Y. Tourneret, "Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Nov. 2011.
[BIBT_{E}X]
Y. Altmann, A. Halimi, N. Dobigeon and J.-Y. Tourneret, "Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Nov. 2011.
[BIBT_{E}X]
O. Besson, N. Dobigeon and J.-Y. Tourneret, "Minimum mean square distance estimation of a subspace," Technical Report, University of Toulouse, ISAE & IRIT/INP-ENSEEIHT, June 2011.
[BIBT_{E}X]
O. Eches, N. Dobigeon, J.-Y. Tourneret and Hichem Snoussi, "Variational methods for spectral unmixing of hyperspectral images," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, May 2011.
[BIBT_{E}X]
O. Eches, N. Dobigeon and J.-Y. Tourneret, "Enhancing hyperspectral image unmixing with spatial correlations," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Jan. 2011.
[BIBT_{E}X]
A. Halimi, Y. Altmann, N. Dobigeon and J.-Y. Tourneret, "Nonlinear unmixing of hyperspectral images using a generalized bilinear model," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Oct. 2010. Update: Dec. 2011.
[BIBT_{E}X]
N. Dobigeon and J.-Y. Tourneret, "Bayesian orthogonal component analysis for sparse representation. Extension to non-homogeneous sparsity level over times," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Nov. 2009. [BIBT_{E}X]
O. Eches, N. Dobigeon and J.-Y. Tourneret, "Estimating the number of endmembers in hyperspectral images using the normal compositional model and a hierarchical Bayesian algorithm," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Oct. 2009. [BIBT_{E}X]
O. Eches, N. Dobigeon, C. Mailhes and J.-Y. Tourneret, "Unmixing hyperspectral images using a Normal Compositional Model and MCMC methods," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Mar. 2009.
[BIBT_{E}X]
N. Dobigeon and J.-Y. Tourneret, "Bayesian sampling of structured noise covariance matrix for hyperspectral imagery," Technical Report, University of Toulouse, IRIT/INP-ENSEEIHT, Dec. 2008.
[BIBT_{E}X]
N. Dobigeon, "Recursive computation of the normalization constant of a multivariate Gaussian distribution truncated on a simplex," Technical Report, University of Michigan, Jan. 2008.
[BIBT_{E}X]
N. Dobigeon, J.-Y. Tourneret and C.-I Chang, "Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery," Technical Report, IRIT/ENSEEIHT/TeSA and University of Maryland, March 2007.
[BIBT_{E}X]
N. Dobigeon and J.-Y. Tourneret, "Efficient sampling according to a multivariate Gaussian distribution truncated on a simplex," Technical Report, IRIT/ENSEEIHT/TeSA, March 2007.
[BIBT_{E}X]
N. Dobigeon and J.-Y. Tourneret, "Truncated multivariate Gaussian distribution on a simplex," Technical Report, IRIT/ENSEEIHT/TeSA, Jan. 2007.
[BIBT_{E}X]
N. Dobigeon, J.-Y. Tourneret and M. Davy, "Joint segmentation of piecewise constant autoregressive processes by using a hierarchical model and a Bayesian sampling approach," Technical Report, IRIT/ENSEEIHT/TeSA and LAGIS, March 2006.
[BIBT_{E}X]
Th. Oberlin and N. Dobigeon, "Approches problèmes inverses pour la fusion d'images multi-bandes," Industrial Report, CNES, Toulouse, France, June 2020. [BIBT_{E}X]
Th. Oberlin, N. Dobigeon and M. Chabert, "Débruitage d'images hyperspectrales," Industrial Report R&T16/OT-0006-037, CNES, Toulouse, France, Avril 2018. [BIBT_{E}X]
N. Dobigeon and J.-Y. Tourneret, "Détection de mélanges non-linéaires dans les images hyperspectrales," Industrial Report R-S13/OT-0004-071, CNES, Toulouse, France, December 2013. [BIBT_{E}X]
N. Dobigeon and J.-Y. Tourneret, "Apprentissage de dictionnaire pour la représentation parcimonieuse d'images de télédétection," Industrial Report R-S11/OT-0004-057, CNES, Toulouse, France, April 2013. [BIBT_{E}X]
H. Wendt, N. Dobigeon, and J.-Y. Tourneret, "Algorithmes complémentaires de reconstruction de données de l'instrument MADRAS," Industrial Report, CNES/CLS, Toulouse, France, June 2012. [BIBT_{E}X]
H. Wendt, N. Dobigeon, and J.-Y. Tourneret, "Algorithmes de reconstruction de données de l'instrument MADRAS," Industrial Report, CNES/CLS, Toulouse, France, June 2012. [BIBT_{E}X]
J.-Y. Tourneret, N. Dobigeon, and A. Ferrari, "Désentrelacement des mesures TDOA et FDOA," Industrial Report R-S09/RE-0001-011, CNES, Toulouse, France, March 2011. [BIBT_{E}X]
Q. Wei, J. M. Bioucas-Dias, N. Dobigeon and J.-Y. Tourneret, "Fast spectral unmixing based on Dykstra's alternating projection," ArXiv deposit, May 2015. [BIBT_{E}X].
C. Theys, H. Lantéri, C. Richard, N. Dobigeon, J.-Y. Tourneret and A. Ferrari, "A normalized scaled gradient method to solve non-negativity and equality constrained linear inverse problem -- Application to spectral mixture analysis," ArXiv deposit, Oct. 2013. [BIBT_{E}X]
N. Dobigeon, A. O. Hero, D. Rugar and J.-Y. Tourneret, "Sparse reconstruction of molecular images: the MRFM challenge," submitted as a white paper to IEEE Signal Processing Mag. - Special Issue on Medical Imaging, 2009. [BIBT_{E}X]
2023/03: | Invited talk, Journées Imagerie Optique Non-Conventionnelle (JIONC), Paris, France "Multiband image fusion under spectrally varying spatial blurs - Application to astronomical imaging". |
2022/09: | Seminar, AI Chair OceaniX webinar, online "Multi-band optical imaging: from fusion to change detection". |
2022/09: | Plenary talk, Workshop on Low-Rank Models and Applications, Mons, Belgium "Multiband image fusion under spectrally varying spatial blurs - Application to astronomical imaging ". |
2022/06: | Plenary talk, Chimiométrie 2022, Brest, France "Factor models for multivariate imaging ". |
2022/03: | Invited talk, SIAM Conf. on Imaging Science, virtual Mini-symposium on "Mathematical Methods for Computational Sensing and Imaging" "Multiband image fusion under spectrally varying spatial blurs - Application to astronomical imaging ". |
2021/09: | Plenary talk, ORASIS 2021, Revel, France "Multi-band optical imaging: from fusion to change detection". |
2021/07: | Invited talk, Études de spectroscopie infrarouge en préparation aux observations avec le JWST, Toulouse, France "Fusion of hyperspectral and multispectral infrared astronomical images". |
2021/06: | Invited talk, Future in Intelligence, Toulouse, France "Towards a trusted AI: optimizing or simulating?" |
2020/12: | Plenary talk, IEEE IPAS 2020, Genoa, Italy "Fusion-based change detection for remote sensing images of different resolutions and modalities". |
2020/09: | Seminar, Séminaire SigMA, CRIStAL, Lille, France "Fusion-based change detection for remote sensing images of different resolutions and modalities". |
2019/12: | Plenary talk, Bee Week 2019, Bordeaux, France "Fusion-based change detection for remote sensing images of different resolutions and modalities". |
2018/12: | Invited talk, Image and Signal Analysis Days, Sfax, Tunisia "Bayesian fusion of multi-band images - Beyond pansharpening". |
2018/10: | Invited talk, Journée GdR-ISIS_OG "Questions ouvertes en analyse du signal pour l'astronomie gravitationnelle," Univ. Paris-Diderot, Paris, France (by Pierre Chainais) "Inférence bayésienne et méthodes de Monte Carlo - Une introduction". |
2017/10: | Invited talks, Dagstuhl Seminar 17411, Leibniz Center for Informatics, Germany "Trends, issues & opportunities in fusion-related problems". "Trends, issues & opportunities in unmixing-related problems" |
2017/05: | Seminar, Séminaires de l'Unité MIAT, Toulouse, France "Spectral Mixture Analysis - Beyond the Linear Mixing Model". |
2016/11: | Invited talk, Chemometrics and Statistics in Image Analysis, Institut Henri Poincaré (IHP), Paris, France "Spectral Mixture Analysis - Beyond the Linear Mixing Model". |
2015/11: | Invited talk, CCT CNES TSI, IAS, Toulouse, France (with Charly Poulliat) "A short tutorial on Bayesian methods". |
2014/12: | Seminar, Séminaires Signal & Image, LAGIS, Lille, France "Bayesian fusion of multiple images - Beyond pansharpening". |
2014/04: | Invited talk, Symposium on Hyperspectral Imaging in Research and Engineering (SHIRE 2014), Univ. Sheffield, UK, "Bayesian linear unmixing for spectral mixture analysis - Application to hyperspectral imagery". |
2013/04: | Seminar, CCT CNES TSI, IAS, Toulouse, France "Démélange (non-)linéaire d'images hyperspectrales". |
2012/12: | Seminar, Séminaires Problèmes Inverses, Bordeaux, France "Bayesian approaches for subspace estimation". |
2012/12: | Invited talk, International PICS 2012 Workshop on Chemometrics in time-resolved and imaging spectroscopy - Instrumental measurements and data analysis, Lille, France "Bayesian linear unmixing for spectral mixture analysis". |
2012/01: | Seminar, Groupe de Travail Image, IMT, University of Toulouse, France "(Non-)linear unmixing of hyperspectral images". |
2011/12: | Invited talk, Atelier "Astrostatistique en France," Grenoble, France "MCMC algorithms for spectral unmixing". |
2011/03: | Seminar, LPS Laboratory, University of Paris-Sud 11, France "Bayesian linear unmixing for spectral mixture analysis". |
2011/02: | Talk, Journée GdR-ISIS "Contraintes de non-négativité en traitement du signal et des images," TelecomParisTech, Paris, France (by Said Moussaoui) "Simulation bayésienne pour la séparation de sources non-négatives". |
2010/12: | Seminar, Séminaires de Statistiques, University of Pau, France "Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé d'images hyperspectrales". |
2010/03: | Talk, Journée "Mathématiques pour l'Ingénierie : de la Modélisation à la Résolution de Problèmes Concrets," Toulouse, France "Reconstruction bayésienne d'images parcimonieuses. Application à l'imagerie MRFM". |
2009/06: | Seminar, Supelec, Gif-sur-Yvette, France "Méthodes MCMC pour l'analyse d'images hyperspectrales". |
2009/05: | Talk, Assemblée Générale du GdR ISIS, Batz-sur-mer, France "Méthodes MCMC pour l'analyse d'images hyperspectrales". |
2009/03: | Talk, Journée GdR-ISIS "Problèmes inverses - Estimation des hyperparamètres," TelecomParisTech, Paris, France "Reconstruction bayésienne d'images MRFM parcimonieuses". |
2009/03: | Talk, Journée GdR-ISIS "Modèle stochastique multivarié en traitement des images," TelecomParisTech, Paris, France "Extraction de composants purs et démélange linéaire bayésiens en imagerie hyperspectrale". |
2008/07: | Invited talk, Workshop on change-point detection methods and applications, AgroParisTech, Paris, France "Joint segmentation of wind speed and direction using a hierarchical model". |
2008/04: | Seminar, GIPSA-lab, Grenoble, France "Segmentation conjointe de signaux multi-capteurs par échantillonnage bayésien". |
2006/12: | Seminar, IRCCyN Lab., Nantes, France "Un modèle bayésien hiérarchique pour la segmentation conjointe de séries astronomiques". |
2005/04: | Talk, Colloque EDIT, Toulouse, France "Segmentation conjointe de données astrophysiques". |