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155

Nicolas Dobigeon, Univ. of Toulouse


Nicolas Dobigeon received the Eng. degree in Electrical Engineering from INP-ENSEEIHT, Toulouse, France, and the M.Sc. degree in Signal Processing from the Institut National Polytechnique de Toulouse (Toulouse INP), both in June 2004. He received the Ph.D. degree and Habilitation à Diriger les Recherches in Signal Processing from Toulouse INP in 2007 and 2012, respectively. From 2007 to 2008, he was a Postdoctoral Research Associate with the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor.

Since 2008, Nicolas Dobigeon has been with Toulouse INP (INP-ENSEEIHT, University of Toulouse) where he is currently a Professor. He conducts his research within the Signal and Communications (SC) group of IRIT and is an associate member of the Apprentissage Optimisation Complexité (AOC) project-team of CIMI. He currently holds an AI Research Chair at the Artificial and Natural Intelligence Toulouse Institute (ANITI) and he is a Junior Member of the Institut Universitaire de France (IUF, 2017-2022).

His recent research activities have been focused on statistical signal and image processing, with a particular interest in Bayesian inverse problems and applications to remote sensing, biomedical imaging and microscopy.

He is currently a member of the SPTM TC of the IEEE Signal Processing Society (since 2018), an Associate Editor for IEEE Trans. Signal Processing (since 2020) and the Deputy Head of the Dept. of Signals and Images at IRIT (since 2017).

He was a steering committee member of the French research group GDR-ISIS (2013-2018), an Associate Editor for Signal Processing (2016-2020) and Digital Signal Processing (2018-2020), a member of French National Council of Universities (CNU/Section 61, 2012-2016) and an elected member at the Research Council of Toulouse INP (2014-2016). He was the Head of the Major Program on "Signal and Image Processing" at INP-ENSEEIHT (2011-2019).

Il est IEEE Senior Member.

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Professional Webpage: http://dobigeon.perso.enseeiht.fr/

Google Scholar Profile: https://scholar.google.com/citations?hl=en&user=YPQFwDYAAAAJ


Journal articles60 documents

  • Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon. Hyperspectral and Multispectral Image Fusion Under Spectrally Varying Spatial Blurs – Application to High Dimensional Infrared Astronomical Imaging. IEEE Transactions on Computational Imaging, IEEE, 2020, 6, pp.1362-1374. ⟨10.1109/TCI.2020.3022825⟩. ⟨hal-02949174⟩
  • Etienne Monier, Thomas Oberlin, Nathalie Brun, Xiaoyan Li, Marcel Tencé, et al.. Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling. Ultramicroscopy, Elsevier, 2020, 215, pp.112993. ⟨10.1016/j.ultramic.2020.112993⟩. ⟨hal-02949156⟩
  • Vinicius Ferraris, Nicolas Dobigeon, Marie Chabert. Robust fusion algorithms for unsupervised change detection between multi-band optical images — A comprehensive case study. Information Fusion, Elsevier, 2020, 64, pp.293-317. ⟨10.1016/j.inffus.2020.08.008⟩. ⟨hal-02949168⟩
  • Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon. Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability. Remote Sensing, MDPI, 2020, 12 (14), pp.2326. ⟨10.3390/rs12142326⟩. ⟨hal-02949164⟩
  • Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon. Matrix cofactorization for joint representation learning and supervised classification : application to hyperspectral image analysis. Neurocomputing, Elsevier, 2020, 385, pp.132-147. ⟨10.1016/j.neucom.2019.12.068⟩. ⟨hal-02887755⟩
  • Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon. Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2020, 58 (7), pp.4915-4927. ⟨10.1109/TGRS.2020.2968541⟩. ⟨hal-02902965⟩
  • Claire Guilloteau, Thomas Oberlin, Olivier Berné, Émilie Habart, Nicolas Dobigeon. Simulated JWST data sets for multispectral and hyperspectral image fusion. Astronomical Journal, American Astronomical Society, 2020, 160 (1), pp.0. ⟨10.3847/1538-3881/ab9301⟩. ⟨hal-02886110⟩
  • Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon. Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2019, 57 (6), pp.3980-3992. ⟨10.1109/TGRS.2018.2889256⟩. ⟨hal-02628783⟩
  • Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon. Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning. Pattern Recognition, Elsevier, 2019, 85, pp.26-36. ⟨10.1016/j.patcog.2018.07.026⟩. ⟨hal-02628773⟩
  • Jessica Sodjo, Audrey Giremus, Nicolas Dobigeon, François Caron. A Bayesian nonparametric model for unsupervised joint segmentation of a collection of images. IEEE Access, IEEE, 2019, 7, pp.12017-12018. ⟨10.1109/ACCESS.2019.2936541⟩. ⟨hal-02397238⟩
  • Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert. Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images. Computer Vision and Image Understanding, Elsevier, 2019, 189, pp.1-15. ⟨10.1016/j.cviu.2019.102817⟩. ⟨hal-02397250⟩
  • Maxime Vono, Nicolas Dobigeon, Pierre Chainais. Split-and-augmented Gibbs sampler - Application to large-scale inference problems. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2019, 67 (6), pp.1648-1661. ⟨10.1109/TSP.2019.2894825⟩. ⟨hal-02438041⟩
  • Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, et al.. Factor analysis of dynamic PET images: beyond Gaussian noise. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2019, 38 (9), pp.2231-2241. ⟨10.1109/TMI.2019.2906828⟩. ⟨hal-02376777⟩
  • Shaheera Rashwan, Nicolas Dobigeon, Walaa Sheta, Hassan Hanan. Non-linear unmixing of hyperspectral images using multiple-kernel self-organizing maps. IET Image Processing, Institution of Engineering and Technology, 2019, 13 (12), pp.2190-2195. ⟨10.1049/iet-ipr.2018.5094⟩. ⟨hal-02494140⟩
  • Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret. Partially Asynchronous Distributed Unmixing of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2019, 57 (4), pp.2009-2021. ⟨10.1109/TGRS.2018.2870486⟩. ⟨hal-02186067⟩
  • Huanfeng Shen, Xiuping Jia, José M. Bioucas-Dias, Nicolas Dobigeon, Yi Cui, et al.. Foreword to the special issue on quality improvements of remote sensing data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2018, 11 (3), pp.687-690. ⟨10.1109/JSTARS.2018.2807998⟩. ⟨hal-02316836⟩
  • Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon. Hyperspectral image unmixing with LiDAR data-aided spatial regularization. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2018, 56 (7), pp.4098-4108. ⟨10.1109/TGRS.2018.2823419⟩. ⟨hal-02626252⟩
  • Etienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Maria de Frutos, et al.. Reconstruction of partially sampled multi-band images - Application to STEM-EELS Imaging. IEEE Transactions on Computational Imaging, IEEE, 2018, 4 (4), pp.585-598. ⟨10.1109/TCI.2018.2866961⟩. ⟨hal-02181994⟩
  • Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert. Detecting changes between optical images of different spatial and spectral resolutions: a fusion-based approach. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2018, 56 (3), pp.1566-1578. ⟨10.1109/TGRS.2017.2765348⟩. ⟨hal-02539644⟩
  • Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret. A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images. IEEE Transactions on Computational Imaging, IEEE, 2018, 4 (1), pp.32-45. ⟨10.1109/TCI.2017.2777484⟩. ⟨hal-02002120⟩
  • Jordan Frecon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry. Bayesian selection for the l2-Potts model regularization parameter: 1D piecewise constant signal denoising. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017, 65 (19), pp.5215-5224. ⟨10.1109/TSP.2017.2715000⟩. ⟨hal-01887965⟩
  • Shaheera Rashwan, Nicolas Dobigeon. A split-and-merge approach for hyperspectral band selection. IEEE Geoscience and Remote Sensing Letters, IEEE - Institute of Electrical and Electronics Engineers, 2017, 14 (8), pp.1378-1382. ⟨10.1109/LGRS.2017.2713462⟩. ⟨hal-01887849⟩
  • Abderrahim Halimi, José Bioucas Dias, Nicolas Dobigeon, Gerald S. Buller, Stephen Mc Laughlin. Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodelling Effects. IEEE Transactions on Computational Imaging, IEEE, 2017, vol. 3 (n° 2), pp. 146-159. ⟨10.1109/TCI.2016.2631979⟩. ⟨hal-01692733⟩
  • Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret. Hyperspectral unmixing with spectral variability using a perturbed linear mixing model. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2016, 64 (2), pp.525-538. ⟨10.1109/TSP.2015.2486746⟩. ⟨hal-01273078⟩
  • Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, Mathieu Albinet, Christophe Goldstein, et al.. Detection and Correction of Glitches in a Multiplexed Multichannel Data Stream—Application to the MADRAS Instrument. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2016, vol. 54 (n° 5), pp. 2803-2811. ⟨10.1109/TGRS.2015.2505902⟩. ⟨hal-01338814⟩
  • Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Marcus Chen, et al.. Multiband Image Fusion Based on Spectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2016, vol. 54 (n° 12), pp. 7236-7249. ⟨10.1109/TGRS.2016.2598784⟩. ⟨hal-01406997⟩
  • Laetitia Loncan, Luís Almeida, José Bioucas-Dias, Xavier Briottet, Jocelyn Chanussot, et al.. Hyperspectral Pansharpening: A Review. IEEE geoscience and remote sensing magazine, IEEE, 2016, 3 (3), pp.27-46. ⟨10.1109/MGRS.2015.2440094⟩. ⟨hal-01403205⟩
  • Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret, José M. Bioucas-Dias, Simon Godsill. R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2016, vol. 23 (n° 11), pp. 1632-1636. ⟨10.1109/LSP.2016.2608858⟩. ⟨hal-01407440⟩
  • Clément Elvira, Pierre Chainais, Nicolas Dobigeon. Bayesian anti-sparse coding. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2016, ⟨10.1109/TSP.2016.2645543⟩. ⟨hal-01433706⟩
  • Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret. Online unmixing of multitemporal hyperspectral images accounting for spectral variability. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2016, vol. 25 (n° 9), pp. 3979-3990. ⟨10.1109/TIP.2016.2579309⟩. ⟨hal-01500507⟩
  • Ningning Zhao, Qi Wei, Adrian Basarab, Nicolas Dobigeon, Denis Kouamé, et al.. Fast Single Image Super-Resolution Using a New Analytical Solution for l2–l2 Problems. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2016, vol. 25 (n° 8), pp. 3683-3697. ⟨10.1109/TIP.2016.2567075⟩. ⟨hal-01373784⟩
  • Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret. Hyperspectral and multispectral image fusion based on a sparse representation. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2015, vol. 53 (n° 7), pp. 3658-3668. ⟨10.1109/TGRS.2014.2381272⟩. ⟨hal-01168121⟩
  • Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret. Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2015, vol. 24 (n° 11), pp. 4109-4121. ⟨10.1109/TIP.2015.2458572⟩. ⟨hal-01187314⟩
  • Sebastien Combrexelle, Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, Stephen Mclaughlin, et al.. Bayesian Estimation of the Multifractality Parameter for Image Texture Using a Whittle Approximation. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2015, vol. 24 (n° 8), pp. 2540-2551. ⟨10.1109/TIP.2015.2426021⟩. ⟨hal-01187463⟩
  • Cédric Févotte, Nicolas Dobigeon. Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2015, vol. 24 (n° 12), pp. 4810-4819. ⟨10.1109/TIP.2015.2468177⟩. ⟨hal-01212736⟩
  • Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon. Toward fast transform learning. International Journal of Computer Vision, Springer Verlag, 2015, vol. 114 (n° 2), pp. 195-216. ⟨10.1007/s11263-014-0771-z⟩. ⟨hal-01281930⟩
  • Olivier Chabiron, Francois Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon. Toward Fast Transform Learning. International Journal of Computer Vision, Springer Verlag, 2015, 114 (2), pp.195-216. ⟨hal-00862903v3⟩
  • Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret. Bayesian Fusion of Multi-Band Images. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2015, vol. 9 (n° 6), pp. 1117-1127. ⟨10.1109/JSTSP.2015.2407855⟩. ⟨hal-01187286⟩
  • Se Un Park, Nicolas Dobigeon, Alfred O. Hero. Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM. Signal Processing, Elsevier, 2014, vol. 94, pp. 386-400. ⟨10.1016/j.sigpro.2013.06.013⟩. ⟨hal-00875110⟩
  • Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret. Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2014, vol. 21, pp. 47-50. ⟨10.1109/LSP.2013.2290329⟩. ⟨hal-00915825⟩
  • Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin. A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2014, vol. 7, pp. 1869-1878. ⟨10.1109/JSTARS.2014.2328872⟩. ⟨hal-01056556⟩
  • Olivier Besson, Nicolas Dobigeon, Jean-Yves Tourneret. Joint Bayesian estimation of close subspaces from noisy measurements. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2014, vol. 21, pp.168-171. ⟨10.1109/LSP.2013.2296138⟩. ⟨hal-00924988⟩
  • Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret. Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2014, vol. 23, pp. 2663-2675. ⟨10.1109/TIP.2014.2314022⟩. ⟨hal-00992112⟩
  • Yoann Altmann, Nicolas Dobigeon, Steve Mclaughlin, Jean-Yves Tourneret. Residual Component Analysis of Hyperspectral Images - Application to Joint Nonlinear Unmixing and Nonlinearity Detection. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2014, vol. 23, pp. 2148-2158. ⟨10.1109/TIP.2014.2312616⟩. ⟨hal-00984400⟩
  • Nicolas Dobigeon, Jean-Yves Tourneret, Cédric Richard, José Carlos M. Bermudez, Steve Mclaughlin, et al.. Nonlinear unmixing of hyperspectral images: Models and algorithms. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2014, vol. 31, pp. 82-94. ⟨10.1109/MSP.2013.2279274⟩. ⟨hal-00915663⟩
  • Cécile Bazot, Nicolas Dobigeon, Jean-Yves Tourneret, Aimee K. Zaas, Geoffrey S. Ginsburg, et al.. Unsupervised Bayesian linear unmixing of gene expression microarrays. BMC Bioinformatics, BioMed Central, 2013, Vol. 14, ⟨10.1186/1471-2105-14-99⟩. ⟨hal-00858969⟩
  • Yoan Altmann, Nicolas Dobigeon, Steve Mclaughlin, Jean-Yves Tourneret. Nonlinear spectral unmixing of hyperspectral images using Gaussian processes. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2013, vol. 61, pp. 2442-2453. ⟨10.1109/TSP.2013.2245127⟩. ⟨hal-00818786⟩
  • Marcelo Alejandro Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret. Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2013, vol. 22 (n° 6), pp. 2385-2397. ⟨10.1109/TIP.2013.2249076⟩. ⟨hal-01130731⟩
  • Olivier Eches, Jon Atli Benediktsson, Nicolas Dobigeon, Jean-Yves Tourneret. Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral image. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2013, Vol. 22, pp. 5-16. ⟨10.1109/TIP.2012.220427⟩. ⟨hal-00780569⟩
  • Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret. Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2013, vol. 22, pp.1267-1276. ⟨10.1109/TIP.2012.2210235⟩. ⟨hal-00786063⟩
  • José M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeon, Mario Parente, Qian Du, et al.. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2012, 5 (2), pp.354-379. ⟨10.1109/JSTARS.2012.2194696⟩. ⟨hal-00760787⟩
  • Se Un Park, Nicolas Dobigeon, Alfred O. Hero. Semi-blind sparse image reconstruction with application to MRFM. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2012, vol. 21, pp. 3838-3849. ⟨10.1109/TIP.2012.2199505⟩. ⟨hal-00729998⟩
  • Nicolas Dobigeon, Saïd Moussaoui, Martial Coulon, Jean-Yves Tourneret, Alfred Hero. Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé images hyperspectrales. Traitement du Signal, Lavoisier, 2010, 27 (1), pp.79-108. ⟨hal-00627125⟩
  • Frédéric Schmidt, Albrecht Schmidt, Erwan Tréguier, Maël Guiheneuf, Saïd Moussaoui, et al.. Implementation Strategies for Hyperspectral Unmixing Using Bayesian Source Separation. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2010, 48 (11), pp.4003-4013. ⟨hal-00626162⟩
  • Nicolas Dobigeon, Saïd Moussaoui, Jean-Yves Tourneret. Bayesian separation of spectral sources under non-negativity and full additivity constraints. Signal Processing, Elsevier, 2009, 89 (12), pp.2657-2669. ⟨10.1016/j.sigpro.2009.05.005⟩. ⟨hal-00455580⟩
  • Nicolas Dobigeon, Saïd Moussaoui, Martial Coulon, Jean-Yves Tourneret, Alfred Hero. Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2009, 57 (11), pp.4355-4368. ⟨10.1109/TSP.2009.2025797⟩. ⟨hal-00455585⟩
  • Jean-Yves Tourneret, Nicolas Dobigeon, Chein-I Chang. Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2008, vol. 56 n° 7., pp. 2684-2695 available on : http://oatao.univ-toulouse.fr/803/1/dobigeon_803.pdf. ⟨hal-00474880⟩
  • Nicolas Dobigeon, Jean-Yves Tourneret, Manuel Davy. Joint segmentation of piecewise constant autoregressive processes by using a hierarchical model and a Bayesian sampling approach. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2007, vol. 57 n° 4., 1251-1263 available on : http://oatao.univ-toulouse.fr/873/2/Tourneret_873.pdf. ⟨hal-00475971⟩
  • Nicolas Dobigeon, Jean-Yves Tourneret. Joint segmentation of wind speed and direction using a hierarchical model. Computational Statistics and Data Analysis, Elsevier, 2007, vol. 51 n° 12., 5603-5621 available on : http://oatao.univ-toulouse.fr/870/3/Tourneret_870.pdf. ⟨hal-00474912⟩
  • Nicolas Dobigeon, Jean-Yves Tourneret, Jeffrey Scargle. Joint segmentation of multivariate astronomical time series : bayesian sampling with a hierarchical model. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2007, vol. 55 n° 2., 414-423 available on : http://oatao.univ-toulouse.fr/875/2/Tourneret_875.pdf. ⟨hal-00475973⟩

Conference papers82 documents

  • Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon. Fusion of hyperspectral and multispectral infrared astronomical images. 11th IEEE Workshop on Sensor Array and Multichannel Signal Processing (SAM 2020), Jun 2020, Hangzhou, China. pp.1-5, ⟨10.1109/SAM48682.2020.9104393⟩. ⟨hal-02879718⟩
  • Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert. Unsupervised change detection for multimodal remote sensing images via coupled dictionary learning and sparse coding. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May 2020, Barcelona, Spain. pp.4627-4631. ⟨hal-02950724⟩
  • Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon. Fusion d'images multispectrales et hyperspectrales pour l'observation en astronomie infrarouge. 27e colloque du Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4. ⟨hal-02419429⟩
  • Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon. Fusion of hyperspectral and multispectral infrared astronomical images. Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Apr 2019, Toulouse, France. pp.0. ⟨hal-02419428⟩
  • Maxime Vono, Nicolas Dobigeon, Pierre Chainais. Efficient Sampling through Variable Splitting-inspired Bayesian Hierarchical Models. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers (IEEE), May 2019, Brighton, United Kingdom. pp.5037-5041, ⟨10.1109/ICASSP.2019.8682982⟩. ⟨hal-02438055⟩
  • Maxime Vono, Nicolas Dobigeon, Pierre Chainais. Modèles augmentés asymptotiquement exacts. 27e colloque du Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4. ⟨hal-02419444⟩
  • Maxime Vono, Nicolas Dobigeon, Pierre Chainais. Un modèles augmenté asymptotiquement exact pour la restauration bayésienne d'images dégradées par un bruit de Poisson. 27e colloque du Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4. ⟨hal-02419443⟩
  • Maxime Vono, Nicolas Dobigeon, Pierre Chainais. On variable splitting for Markov chain Monte Carlo. Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Apr 2019, Toulouse, France. pp.1-2. ⟨hal-02419442⟩
  • Maxime Vono, Nicolas Dobigeon, Pierre Chainais. Bayesian Image Restoration under Poisson Noise and Log-concave Prior. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019, Brighton, United Kingdom. pp.1712-1716, ⟨10.1109/ICASSP.2019.8683031⟩. ⟨hal-02438049⟩
  • Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon. Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images. 27th European Signal Processing Conference (EUSIPCO 2019), Sep 2019, A Coruna, Spain. pp.1-5. ⟨hal-02442017⟩
  • Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon. Cofactorisation de matrices pour le démélange et la classification conjoints d'images hyperspectrales. 27e colloque du Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4. ⟨hal-02419433⟩
  • Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon. Cofactorisation de matrices pour le démélange et la classification conjoints d'images hyperspectrales. 7e Colloque du groupe SFPT-GH : Groupe Hyperspectral de la Société Française de Photogrammétrie et de Télédétection (SFPT-GH 2019), Jul 2019, Toulouse, France. pp.1. ⟨hal-02419452⟩
  • Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, et al.. Unmixing dynamic PET images: combining spatial heterogeneity and non-Gaussian noise. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), May 2019, Brighton, United Kingdom. pp.1373-1377. ⟨hal-02378392⟩
  • Etienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, et al.. Reconstruction de spectres-images STEM-EELS partiellement échantillonnés. 16e Colloque de la Société Française des Microscopies (SFU 2019), Jul 2019, Poitiers, France. pp.74-75. ⟨hal-02397455⟩
  • Yanna Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, et al.. Unmixing dynamic PET images: Combining spatial heterogeneity and non-gaussian noise. Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),, 2019, Brighton, United Kingdom. ⟨hal-02376808⟩
  • Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon. A Bayesian model for joint unmixing and robust classification of hyperspectral image. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Canada. pp.3399-3404. ⟨hal-02348223⟩
  • Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon. Modèle bayésien hiérarchique pour le démélange et la classification robuste d’images hyperspectrales. Conférence Française de Photogrammétrie et Télédétection 2018, Jun 2018, Marne la Vallée, France. 3 p. ⟨hal-02789569⟩
  • Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon. Lidar-Driven spatial regularization for hyperspectral unmixing. 38. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2018, Valencia, Spain. ⟨hal-02734815⟩
  • Mathieu Fauvel, Rémi Duflot, Tatsumi Uezato, Nicolas Dobigeon, Aude Vialatte, et al.. Prédiction des services écosystémiques dans les paysages agricoles par télédétection hyperspectrale. 6. Colloque de la Société Française de Photogrammétrie et Télédétection - Groupe Hyperspectrale (SFPT-GH), May 2018, Montpellier, France. ⟨hal-01990156⟩
  • Maxime Vono, Nicolas Dobigeon, Pierre Chainais. Sparse Bayesian binary logistic regression using the split-and-augmented Gibbs sampler. IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2018), Sep 2018, Aalborg, Denmark. pp.1-6. ⟨hal-02279425⟩
  • Etienne Monier, Thomas Oberlin, Nathalie Brun, Maria de Frutos, Marcel Tencé, et al.. Reconstruction of partially sampled EELS images. 9th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2018), Sep 2018, Amsterdam, Netherlands. ⟨10.1109/WHISPERS.2018.8747104⟩. ⟨hal-02289995⟩
  • Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon. A multiple endmember mixing model to handle spectral variability. 9th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2018), Sep 2018, Amsterdam, Netherlands. pp.1. ⟨hal-02290011⟩
  • Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon. LiDAR-driven spatial regularization for hyperspectral unmixing. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valencia, Spain. pp.1740-1743. ⟨hal-02319750⟩
  • Vinicius Ferraris, Naoto Yokoya, Nicolas Dobigeon, Marie Chabert. A comparative study of fusion-based change detection methods for multi-band images with different spectral and spatial resolutions. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valencia, Spain. pp.5021-5024. ⟨hal-02319713⟩
  • Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon. Un modèle bayésien pour le démélange, la segmentation et la classification robuste d’images hyperspectrales. 26. Colloque GRETSI 2017, Sep 2017, Juan-Les-Pins, France. ⟨hal-02737167⟩
  • Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Clovis Tauber. Unmixing dynamic PET images with a PALM algorithm. 25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos island, Greece. pp. 1-5. ⟨hal-01887888⟩
  • Abderrahim Halimi, José Bioucas Dias, Nicolas Dobigeon, Gerald S. Buller, Stephen Mc Laughlin. Fast hyperspectral unmixing in presence of sparse multiple scattering nonlinearities. 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp. 3111-3115. ⟨hal-01757349⟩
  • Clément Elvira, Pierre Chainais, Nicolas Dobigeon. Une formulation bayésienne du codage antiparcimonieux. GRETSI, Sep 2017, Juan-les-Pins, France. ⟨hal-01691387⟩
  • Jordan Frecon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry. Bayesian-driven criterion to automatically select the regularization parameter in the l1-Potts model. 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp. 1. ⟨hal-01757351⟩
  • Mathieu Fauvel, Tatsumi Uezato, Rémi Duflot, Nicolas Dobigeon, Aude Vialatte, et al.. Ecosystem services assessment using hyperspectral images. 5. Colloque de la Société Française de Photogrammétrie et Télédétection - Groupe Hyperspectrale (SFPT-GH), May 2017, Brest, France. ⟨hal-02785275⟩
  • Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret. Une approche distribuée asynchrone pour la factorisation en matrices non-négatives - Application au démélange hyperspectral. 26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp.1-4. ⟨hal-01913988⟩
  • Adrien Lagrange, Nicolas Dobigeon, Mathieu Fauvel, Stéphane May. A Bayesian model for joint unmixing, clustering and classification of hyperspectral data. Séminaire des doctorants, Apr 2017, Toulouse, France. pp. 1-28. ⟨hal-02139416⟩
  • Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Clovis Tauber. Démélange d'images TEP dynamiques. 26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp.1-4. ⟨hal-01912800⟩
  • Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert. Change detection between multi-band images using a robust fusion-based approach. 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp. 3346-3350. ⟨hal-01782555⟩
  • Jessica Sodjo, Audrey Giremus, Nicolas Dobigeon, Jean-François Giovannelli. A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2017, La Nouvelle Orléans, LA, United States. pp.1882-1886, ⟨10.1109/ICASSP.2017.7952483⟩. ⟨hal-01695104⟩
  • Etienne Monier, Thomas Oberlin, Nathalie Brun, Nicolas Dobigeon. Reconstruction de spectres-images partiellement échantillonnés en microscopie EELS. 26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp.1-4. ⟨hal-01913681⟩
  • Clément Elvira, Nicolas Dobigeon, Pierre Chainais. Bayesian Nonparametric Subspace Estimation. ICASSP 2017 - IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2017, New Orleans, United States. ⟨10.1109/ICASSP.2017.7952556⟩. ⟨hal-01687163⟩
  • Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret. Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations. 25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos island, Greece. pp. 1-5. ⟨hal-01887901⟩
  • Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert. Détection de changements par fusion robuste d'images multi-bandes de résolutions spatiale et spectrale différentes. 26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp.1-4. ⟨hal-01912805⟩
  • Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret. Unmixing multitemporal hyperspectral images with variability: an online algorithm. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Mar 2016, Shangai, China. pp. 3351-3355. ⟨hal-01535952⟩
  • Jessica Sodjo, Audrey Giremus, Francois Caron, Jean-François Giovannelli, Nicolas Dobigeon. Joint segmentation of multiple images with shared classes: a Bayesian nonparametrics approach. IEEE Statistical Signal Processing Workshop (SSP), Jun 2016, Palma de Majorque, Spain. ⟨10.1109/SSP.2016.7551735⟩. ⟨hal-01695100⟩
  • Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Simon Godsill. Blind model-based fusion of multi-band and panchromatic images. IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), Sep 2016, Baden-Baden, Germany. pp. 21-25. ⟨hal-01682975⟩
  • Qi Wei, Simon Godsill, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret. High-resolution Hyperspectral Image Fusion Based on Spectral Unmixing. 19th International Conference on Information Fusion (FUSION 2016), Jul 2016, Heidelberg, Germany. pp. 1714-1719. ⟨hal-01514617⟩
  • Clément Elvira, Pierre Chainais, Nicolas Dobigeon. Democratic prior for anti-sparse coding. IEEE Workshop on statistical signal processing (SSP 2016), Jun 2016, Palma de Mallorca, Spain. pp. 1-5. ⟨hal-01433632v2⟩
  • Jessica Sodjo, Audrey Giremus, François Caron, Jean-François Giovannelli, Nicolas Dobigeon. Joint segmentation of multiple images with shared classes: a Bayesian nonparametrics approach. IEEE Workshop on statistical signal processing (SSP 2016), Jun 2016, Palma de Mallorca, Spain. pp. 1-5. ⟨hal-01500506⟩
  • Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine. Hyperspectral unmixing accounting for spatial correlations and endmember variability. 7th IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2015), Jun 2015, Tokyo, Japan. pp. 1-4. ⟨hal-01377331⟩
  • Sébastien Combrexelle, Herwig Wendt, Patrice Abry, Nicolas Dobigeon, Stephen Mc Laughlin, et al.. A Bayesian approach for the joint estimation of the multifractality parameter and integral scale based on the Whittle approximation. 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), Apr 2015, Brisbane, Australia. pp.3886-3890, ⟨10.1109/ICASSP.2015.7178699⟩. ⟨hal-01387798⟩
  • Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret. Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method. IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2015), Jun 2015, Tokyo, Japan. pp. 1-5. ⟨hal-01377335⟩
  • Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret. FUSE: a fast multi-band image fusion algorithm. 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015), Dec 2015, Cancun, Mexico. pp. 161-164. ⟨hal-01567071⟩
  • Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Stephen Mclaughlin, Paul Honeine. Unmixing multitemporal hyperspectral images accounting for endmember variability. 23rd European Signal and Image Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. pp. 1686-1690. ⟨hal-01363316⟩
  • Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret. A perturbed linear mixing model accounting for spectral variability. 23rd European Signal and Image Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. pp. 814-818. ⟨hal-01360872⟩
  • Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret. Estimation de variabilité pour le démélange non-supervisé d'images hyperspectrales. 25eme Colloque Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2015), Sep 2015, Lyon, France. pp. 1-4. ⟨hal-01342993⟩
  • Sebastien Combrexelle, Herwig Wendt, Jean-Yves Tourneret, Nicolas Dobigeon, Stephen Mc Laughlin, et al.. Estimation bayésienne locale du paramètre de multifractalité à l'aide d'un algorithme de Monte Carlo Hamiltonien. 25eme Colloque Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2015), Sep 2015, Lyon, France. pp. 1-5. ⟨hal-01342995⟩
  • Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine. A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability. ICASSP 2015, 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2015, Brisbane, Australia. pp.2469-2473, ⟨10.1109/ICASSP.2015.7178415⟩. ⟨hal-01387760⟩
  • Nelly Pustelnik, Patrice Abry, Herwig Wendt, Nicolas Dobigeon. Inverse problem formulation for regularity estimation in images. International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. pp. 6081-6085. ⟨hal-01399871⟩
  • Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin. Nonlinear unmixing of vegetated areas: a model comparison based on simulated and real hyperspectral data. IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - WHISPERS 2014, Jun 2014, Lausanne, Switzerland. pp. 1-4. ⟨hal-01136112⟩
  • Lotfi Chaari, Hadj Batatia, Nicolas Dobigeon, Jean-Yves Tourneret. A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularization. IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2014, May 2014, Florence, Italy. pp. 1901-1905. ⟨hal-01147247⟩
  • Jie Chen, Nicolas Dobigeon, Abderrahim Halimi, Paul Honeiné, Cédric Richard, et al.. Démélange non-linéaire d'images hyperspectrales : mythe ou réalité ?. 3ème colloque scientifique de la SFPT-GH - 2014, May 2014, Porquerolles, France. ⟨hal-02967890⟩
  • Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret. Fusion of multispectral and hyperspectral images based on sparse representation. 22nd European Signal and Image Processing Conference (EUSIPCO 2014), Sep 2014, Lisbon, Portugal. pp. 1577-1581. ⟨hal-01178562⟩
  • Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret. Bayesian fusion of hyperspectral and multispectral images. IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2014, May 2014, Florence, Italy. pp. 3176-3180. ⟨hal-01150337⟩
  • Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon. Learning a fast transform with a dictionary. international Traveling Workshop on Interactions between Sparse models and Technology - iTWIST' 2014, Aug 2014, Namur, Belgium. pp. 10-12. ⟨hal-01134819⟩
  • Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret. Bayesian fusion of multispectral and hyperspectral images with unknown sensor spectral response. IEEE International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. pp. 698-702. ⟨hal-01399867⟩
  • Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon. Learning a fast transform with a dictionary. iTwist, 2014, Namur, Belgium. ⟨hal-01486838⟩
  • Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, Patrice Abry. Estimation bayésienne du paramètre de multifractalité. 24eme Colloque Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2013), Sep 2013, Brest, France. pp. 1-4. ⟨hal-01239720⟩
  • Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret. Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model. 21st European Signal and Image Processing Conference (EUSIPCO 2013), Sep 2013, Marrakech, Morocco. pp. 1-5. ⟨hal-01239743⟩
  • Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, Stephen Mclaughlin. Nonlinear hyperspectral unmixing using Gaussian processes. IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - WHISPERS 2013, Jun 2013, Gainesville, United States. pp. 1-4. ⟨hal-01135826⟩
  • Nicolas Dobigeon, Cédric Févotte. Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral images. IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - WHISPERS 2013, Jun 2013, Gainesville, United States. pp. 1-4. ⟨hal-01151017⟩
  • Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, Patrice Abry. Bayesian estimation for the multifractality parameter. IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2013, May 2013, Vancouver, Canada. pp. 6556-6560. ⟨hal-01151027⟩
  • Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, José Carlos M. Bermudez. A robust test for nonlinear mixture detection in hyperspectral images. IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2013, May 2013, Vancouver, Canada. pp. 2149-2153. ⟨hal-01150345⟩
  • Zacharie Irace, Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia. Un modèle Bayésien de mélange de lois Poisson-Gamma pour segmenter des images TEP. RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3. ⟨hal-00656545⟩
  • F. Schmidt, S. Bourguignon, Le Mouélic S., Nicolas Dobigeon, C. Theys, et al.. Accuracy and performance of linear unmixing techniques for detecting minerals on OMEGA/MEx. EPSC-DPS Joint Meeting, Oct 2011, Nantes, France. pp.969. ⟨hal-00667772⟩
  • Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret, Hichem Snoussi. Variational methods for spectral unmixing of hyperspectral images. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2011, Prague, Czech Republic. pp.957-960, ⟨10.1109/ICASSP.2011.5946564⟩. ⟨hal-02366094⟩
  • E. Tréguier, F. Schmidt, A. Schmidt, M. Guiheneuf, S. Moussaoui, et al.. Applying new spectral unmixing technique to Martian hyperspectral data. EGU General Assembly, May 2010, Vienne, Austria. pp.12824. ⟨hal-00546675⟩
  • F. Schmidt, A. Schmidt, E. Tréguier, M. Guiheneuf, S. Moussaoui, et al.. Accuracy and performance of optimized Bayesian source separation for hyperspectral unmixing. Whispers'10, Jun 2010, Reykjavik, Iceland. pp.24. ⟨hal-00546800⟩
  • A. Schmidt, E. Tréguier, F. Schmidt, M. Guiheneuf, S. Moussaoui, et al.. Multi-image unsupervised spectral analysis. European Planetary Science Congress, Sep 2010, Rome, Italy. pp.8. ⟨hal-00547507⟩
  • A. Schmidt, F. Schmidt, E. Treguier, S. Moussaoui, Nicolas Dobigeon. Matrix approximation techniques for unsupervised hyperspectral data analysis. EGU General Assembly, May 2010, Vienne, Austria. pp.10027. ⟨hal-00546661⟩
  • E. Tréguier, F. Schmidt, A. Schmidt, S. Moussaoui, Nicolas Dobigeon, et al.. Investigating Martian and Venusian hyperspectral datasets. AGU Fall Meeting, Dec 2010, San Francisco, United States. pp.B1518. ⟨hal-00547512⟩
  • Frédéric Schmidt, Saïd Moussaoui, Nicolas Dobigeon. Material identification on martian hyperspectral images using bayesian source separation. First IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Aug 2009, Grenoble, France. pp.1-4, ⟨10.1109/WHISPERS.2009.5289091⟩. ⟨hal-00626167⟩
  • Nicolas Dobigeon, Saïd Moussaoui, Martial Coulon, Jean-Yves Tourneret. Extraction de composants purs et démélange linéaire bayésiens en imagerie hyperspectrale. XIIème colloque GRETSI sur le Traitement du Signal et des Images, Sep 2009, Dijon, France. pp.CDROM. ⟨hal-00455602⟩
  • Nicolas Dobigeon, Jean-Yves Tourneret, Saïd Moussaoui. Blind unmixing of linear mixtures using a hierarchical Bayesian model. Application to spectroscopic signal analysis. IEEE Workshop on Statistical Signal Processing, Aug 2007, Madison, United States. pp.CDROM, ⟨10.1109/SSP.2007.4301222⟩. ⟨hal-00455587⟩
  • Nicolas Dobigeon, Saïd Moussaoui, Jean-Yves Tourneret. Séparation bayésienne de sources spectrales sous contraintes de positivité et d'additivité. XXIième Colloque GRETSI sur le Traitement du Signal et des Images, Sep 2007, Troyes, France. pp.CDROM. ⟨hal-00455608⟩
  • Nicolas Dobigeon, Jean-Yves Tourneret, Manuel Davy. JOINT SEGMENTATION OF PIECEWISE CONSTANT AUTOREGRESSIVE PROCESSES BY USING A HIERARCHICAL MODEL AND A BAYESIAN SAMPLING APPROACH. IEEE ICASSP 2006, 2006, Toulouse, France. ⟨inria-00119997⟩

Poster communications1 document

  • Yoann Altmann, Nathalie Brun, Nicolas Dobigeon, Katia March, Saïd Moussaoui, et al.. Hyperspectral EELS Image Unmixing. 6th Conference in Spectral Imaging (IASIM 2016), Jul 2016, Chamonix, France. 2016, Proceedings of the 6th Conference in Spectral Imaging (IASIM 2016). ⟨hal-01441160⟩

Book sections1 document

  • Nicolas Dobigeon, Yoann Altmann, Nathalie Brun, Saïd Moussaoui. Linear and nonlinear unmixing in hyperspectral imaging. Data Handling in Science and Technology, Resolving Spectral Mixtures with Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging, 30 - 2016 (Chapter 6), pp.185-224, 2016, Data Handling in Science and Technology, 978-0-444-63638-6. ⟨10.1016/B978-0-444-63638-6.00006-1⟩. ⟨hal-02564834⟩

Preprints, Working Papers, ...10 documents

  • Etienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, et al.. Reconstruction of partially sampled multi-band images - Application to STEM-EELS imaging. 2018. ⟨hal-01552138⟩
  • Clément Elvira, Pierre Chainais, Nicolas Dobigeon. Bayesian nonparametric Principal Component Analysis. 2017. ⟨hal-01687236⟩
  • Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon. Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning. 2017. ⟨hal-01545393⟩
  • Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Maria Ribeiro, et al.. Unmixing dynamic PET images for voxel-based kinetic component analysis. 2017. ⟨hal-01552171⟩
  • Frederic Schmidt, Albrecht Schmidt, Erwan Treguier, Mael Guiheneuf, Said Moussaoui, et al.. Implementation strategies for hyperspectral unmixing using Bayesian source separation. 2010. ⟨hal-00466419⟩
  • Nicolas Dobigeon, Jean-Yves Tourneret. Bayesian orthogonal component analysis for sparse representation. 2010. ⟨hal-00548753⟩
  • Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret. Enhancing hyperspectral image unmixing with spatial correlations. 2010. ⟨hal-00548759⟩
  • Nicolas Dobigeon, Said Moussaoui, Martial Coulon, Jean-Yves Tourneret, Alfred O. Hero. Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery. 2009. ⟨hal-00548758⟩
  • Nicolas Dobigeon, Said Moussaoui, Jean-Yves Tourneret, Cedric Carteret. Bayesian separation of spectral sources under non-negativity and full additivity constraints. 2009. ⟨hal-00548756⟩
  • Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourneret. Hierarchical Bayesian sparse image reconstruction with application to MRFM. 2008. ⟨hal-00324075⟩

Theses1 document

  • Nicolas Dobigeon. Modèles bayésiens hiérarchiques pour le traitement multi-capteur. Traitement du signal et de l'image [eess.SP]. Institut National Polytechnique de Toulouse - INPT, 2007. Français. ⟨tel-00189738⟩