Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability L Drumetz, MA Veganzones, S Henrot, R Phlypo, J Chanussot, C Jutten IEEE Transactions on Image Processing 25 (8), 3890-3905, 2016 | 270 | 2016 |
Dynamical spectral unmixing of multitemporal hyperspectral images S Henrot, J Chanussot, C Jutten IEEE Transactions on Image Processing 25 (7), 3219-3232, 2016 | 73 | 2016 |
Reduced-complexity end-to-end variational autoencoder for on board satellite image compression V Alves de Oliveira, M Chabert, T Oberlin, C Poulliat, M Bruno, C Latry, ... Remote Sensing 13 (3), 447, 2021 | 59 | 2021 |
Fast positive deconvolution of hyperspectral images S Henrot, C Soussen, D Brie IEEE Transactions on Image Processing 22 (2), 828-833, 2012 | 53 | 2012 |
Satellite image compression and denoising with neural networks VA de Oliveira, M Chabert, T Oberlin, C Poulliat, M Bruno, C Latry, ... IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 44 | 2022 |
Regularization parameter estimation for non-negative hyperspectral image deconvolution Y Song, D Brie, EH Djermoune, S Henrot IEEE Transactions on image processing 25 (11), 5316-5330, 2016 | 28 | 2016 |
Does deblurring improve geometrical hyperspectral unmixing? S Henrot, C Soussen, M Dossot, D Brie IEEE Transactions on Image Processing 23 (3), 1169-1180, 2014 | 22 | 2014 |
Edge-preserving nonnegative hyperspectral image restoration S Henrot, S Moussaoui, C Soussen, D Brie 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 11 | 2013 |
Sequential deconvolution—Unmixing of blurred hyperspectral data S Henrot, C Soussen, D Brie 2014 IEEE International Conference on Image Processing (ICIP), 5152-5156, 2014 | 5 | 2014 |
Fast deconvolution of large fluorescence hyperspectral images S Henrot, C Soussen, D Brie 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2011 | 5 | 2011 |
Correction to “Dynamical Spectral Unmixing of Multitemporal Hyperspectral Images”[Jul 16 3219-3232] S Henrot, J Chanussot, C Jutten IEEE Transactions on Image Processing 25 (9), 4443-4443, 2016 | 4 | 2016 |
Déconvolution et séparation d'images hyperspectrales en microscopie S Henrot Université de Lorraine, 2013 | 4 | 2013 |
Edge-preserving nonnegative deconvolution of hyperspectral fluorescence microscopy images S Henrot, C Soussen, S Moussaoui, D Brie CRAN-IRCCyN, 2015 | 3 | 2015 |
Simplified entropy model for reduced-complexity end-to-end variational autoencoder with application to on-board satellite image compression VA de Oliveira, T Oberlin, M Chabert, C Poulliat, B Mickael, C Latry, ... 7th International Workshop on On-Board Payload Data Compression (OBPDC 2020 …, 2020 | 2 | 2020 |
Restauration positive d’images hyperspectrales avec préservation des contours S Henrot, C Soussen, S Moussaoui, D Brie XXIVe Colloque GRETSI Traitement du Signal & des Images, GRETSI 2013, CDROM, 2013 | 2 | 2013 |
Minimum distance criterion for non-negative hyperspectral image deconvolution Y Song, D Brie, EH Djermoune, S Henrot 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 1 | 2016 |
Regularization parameter estimation for non-negative hyperspectral image deconvolution: supplementary material Y Song, D Brie, EH Djermoune, S Henrot CRAN, 2016 | 1 | 2016 |
Simplified entropy model for reduced-complexity end-to-end variational autoencoder with application to on-board satellite image compression V Alves de Oliveira, T Oberlin, M Chabert, C Poulliat, B Mickael, C Latry, ... | | 2020 |
Démélange aveugle d'images hyperspectrales à l'aide d'un modèle linéaire étendu tenant compte de la variabilité spectrale L Drumetz, S Henrot, MA Veganzones, J Chanussot, C Jutten GRETSI 2015-XXVème Colloque francophone de traitement du signal et des images, 2015 | | 2015 |
Semaine d'Etude Mathématiques et Entreprises 5: Détection de marques de cylindres sur une ligne sidérurgique, ou comment séparer des sources périodiques dans une image bruitée N Aguillon, A Benki, S Henrot, C Steiner, I Zangré | | 2013 |