Keywords

Co-authors

Number of documents

67

Nicolas Dobigeon, Univ. of Toulouse


Nicolas Dobigeon received the Eng. degree in Electrical Engineering from ENSEEIHT, Toulouse, France, and the M.Sc. degree in Signal Processing from the Institut National Polytechnique de Toulouse (INP Toulouse), both in June 2004. He received the Ph.D. degree and Habilitation à Diriger les Recherches in Signal Processing from the INP Toulouse 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 the Institut National Polytechnique de Toulouse (University of Toulouse, INP-ENSEEIHT) where he is currently a Professor. He conducts his research within the Signal and Communications Group of the IRIT Laboratory and he is also an affiliated faculty member of the Telecommunications for Space and Aeronautics (TeSA) cooperative laboratory.

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 genomics.

In 2012, he was appointed at the French National Council of Universities (CNU 61) and, since 2013, he has been a member of the GdR-ISIS steering committee.

Since 2011, he has been also in charge of the "Signal and Image Processing" specialization at INP-ENSEEIHT.

He is a Senior Member of IEEE.

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

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


Journal articles30 documents

  • 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⟩
  • 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, 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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, 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⟩
  • 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⟩
  • 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⟩
  • 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, 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⟩
  • 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⟩

Conference papers26 documents

  • 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⟩
  • 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⟩
  • Clément Elvira, Pierre Chainais, Nicolas Dobigeon. Une formulation bayésienne du codage antiparcimonieux. GRETSI, Sep 2017, Juan-les-Pins, France. ⟨hal-01691387⟩
  • 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⟩
  • Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon. Learning a fast transform with a dictionary. iTwist, 2014, Namur, Belgium. ⟨hal-01486838⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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., N. 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⟩
  • 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. 12, pp.12824, 2010. 〈hal-00546675〉
  • 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, 2010. 〈hal-00547507〉
  • 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, 2010. 〈hal-00546800〉
  • A. Schmidt, F. Schmidt, E. Treguier, S. Moussaoui, N. Dobigeon. Matrix approximation techniques for unsupervised hyperspectral data analysis. EGU General Assembly, May 2010, Vienne, Austria. 12, pp.10027, 2010. 〈hal-00546661〉
  • E. Tréguier, F. Schmidt, A. Schmidt, S. Moussaoui, N. Dobigeon, et al.. Investigating Martian and Venusian hyperspectral datasets. AGU Fall Meeting, Dec 2010, San Francisco, United States. pp.B1518. ⟨hal-00547512⟩
  • 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⟩
  • 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, 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, 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, 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⟩

Preprints, Working Papers, ...9 documents

  • Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon. Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning. 2017. ⟨hal-01545393⟩
  • Clément Elvira, Pierre Chainais, Nicolas Dobigeon. Bayesian nonparametric Principal Component Analysis. 2017. ⟨hal-01687236⟩
  • 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⟩
  • Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret. Enhancing hyperspectral image unmixing with spatial correlations. 2010. ⟨hal-00548759⟩
  • Nicolas Dobigeon, Jean-Yves Tourneret. Bayesian orthogonal component analysis for sparse representation. 2010. ⟨hal-00548753⟩
  • 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, Said Moussaoui, Jean-Yves Tourneret, Cedric Carteret. Bayesian separation of spectral sources under non-negativity and full additivity constraints. 2009. ⟨hal-00548756⟩
  • 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, 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⟩