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Nicolas Dobigeon

Showing results (11-20 of 30) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 16, 2016
Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral VariabilityPierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 5, 2009
Hierarchical Bayesian sparse image reconstruction with application to MRFMNicolas Dobigeon, Alfred O Hero, Jean-Yves Tourneret
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 21, 2012
Supervised nonlinear spectral unmixing using a postnonlinear mixing model for hyperspectral imageryYoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, et al.
IEEE Transactions on Medical Imaging|March 22, 2012
Segmentation of skin lesions in 2-D and 3-D ultrasound images using a spatially coherent generalized Rayleigh mixture modelMarcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 11, 2010
Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imageryOlivier Eches, Nicolas Dobigeon, Corinne Mailhes, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 12, 2014
Residual component analysis of hyperspectral images--application to joint nonlinear unmixing and nonlinearity detectionYoann Altmann, Nicolas Dobigeon, Steve McLaughlin, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 12, 2013
Estimating the granularity coefficient of a Potts-Markov random field within a Markov chain Monte Carlo algorithmMarcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 20, 2012
Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral imagesOlivier Eches, Jón Atli Benediktsson, Nicolas Dobigeon, et al.
Ultramicroscopy|June 10, 2020
Fast reconstruction of atomic-scale STEM-EELS images from sparse samplingEtienne Monier, Thomas Oberlin, Nathalie Brun, et al.
Medical Image Analysis|August 20, 2018
Unmixing dynamic PET images with variable specific binding kineticsYanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 16, 2016
Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral VariabilityPierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 5, 2009
Hierarchical Bayesian sparse image reconstruction with application to MRFMNicolas Dobigeon, Alfred O Hero, Jean-Yves Tourneret
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 21, 2012
Supervised nonlinear spectral unmixing using a postnonlinear mixing model for hyperspectral imageryYoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, et al.
IEEE Transactions on Medical Imaging|March 22, 2012
Segmentation of skin lesions in 2-D and 3-D ultrasound images using a spatially coherent generalized Rayleigh mixture modelMarcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 11, 2010
Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imageryOlivier Eches, Nicolas Dobigeon, Corinne Mailhes, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 12, 2014
Residual component analysis of hyperspectral images--application to joint nonlinear unmixing and nonlinearity detectionYoann Altmann, Nicolas Dobigeon, Steve McLaughlin, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 12, 2013
Estimating the granularity coefficient of a Potts-Markov random field within a Markov chain Monte Carlo algorithmMarcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 20, 2012
Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral imagesOlivier Eches, Jón Atli Benediktsson, Nicolas Dobigeon, et al.
Ultramicroscopy|June 10, 2020
Fast reconstruction of atomic-scale STEM-EELS images from sparse samplingEtienne Monier, Thomas Oberlin, Nathalie Brun, et al.
Medical Image Analysis|August 20, 2018
Unmixing dynamic PET images with variable specific binding kineticsYanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, et al.
Pageof 3