Jocelyn CHANUSSOT
Professeur Grenoble-INP
Equipe SIGnal iMAge PHYsique
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : jocelyn.chanussot@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1136
Tél.33 (0)4 76 82 62 73
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression

Lucas Drumetz, Guillaume Tochon, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten. Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, La Nouvelle Orléans, LA, United States. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.6190-6194, 2017, 〈http://www.ieee-ic

Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity

Lucas Drumetz, Guillaume Tochon, Jocelyn Chanussot, Christian Jutten. Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity. Petr Tichavsky; Massoud Babaie-Zadeh; Olivier Michel; Nadège Thirion-Moreau. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. Springer, Lectures Notes in Computer Sciences (10169), pp.381 - 391, 2017, Latent Variable Analysis and Signal Sep

Context-adaptive Pansharpening Based on Image Segmentation

Rocco Restaino, Mauro Dalla Mura, Gemine Vivone, Jocelyn Chanussot. Context-adaptive Pansharpening Based on Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2017, 55 (2), pp.753-766. 〈10.1109/TGRS.2016.2614367〉. 〈hal-01402601〉

Hyperspectral Image Classification With Rotation Random Forest Via KPCA

Junshi Xia, Falco Nicola, Jon Atli Benediktsson, Peijun Du, Jocelyn Chanussot. Hyperspectral Image Classification With Rotation Random Forest Via KPCA . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2017, 〈10.1109/JSTARS.2016.2636877 〉. 〈hal-01442605〉

Relationships between nonlinear and space-variant linear models in hyperspectral image unmixing

Lucas Drumetz, Bahram Ehsandoust, Jocelyn Chanussot, Bertrand Rivet, Massoud Babaie-Zadeh, et al.. Relationships between nonlinear and space-variant linear models in hyperspectral image unmixing. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2017, pp.1 - 1. 〈10.1109/LSP.2017.2747478〉. 〈hal-01581520〉

Evaluation of the New Information in the H/α Feature Space Provided by ICA in PolSAR Data Analysis

Leandro Pralon, Gabriel Vasile, Mauro Dalla Mura, Jocelyn Chanussot. Evaluation of the New Information in the H/α Feature Space Provided by ICA in PolSAR Data Analysis. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, A Paraître, pp.1 - 17. 〈10.1109/TGRS.2017.2735992〉. 〈hal-01593483〉

A comparison between real and complex Schott spherical symmetry test for PolSAR data analysis

Leandro Pralon, Gabriel Vasile, Mauro Dalla Mura, Jocelyn Chanussot. A comparison between real and complex Schott spherical symmetry test for PolSAR data analysis. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, New Orleans, LA, United States. pp.4277 - 4280, 2017, Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on. 〈10.1109/ICASSP.2017.7952963〉. 〈hal-01546834〉

Collaborative Sliced Inverse Regression

Alessandro Chiancone, Stephane Girard, Jocelyn Chanussot. Collaborative Sliced Inverse Regression. Communication in Statistics - Theory and Methods, Taylor & Francis, 2017, 46 (12), pp.6035--6053. 〈10.1080/03610926.2015.1116578〉. 〈hal-01158061v2〉

Information Extraction by Blind Source Separation from Polarimetric SAR Data

Leandro Pralon, Gabriel Vasile, Mauro Dalla-Mura, Jocelyn Chanussot. Information Extraction by Blind Source Separation from Polarimetric SAR Data. IEEE International Geoscience and Remote Sensing Symposium, 2017, Fort Worth, United States. 〈hal-01593486〉

Hyperspectral Pansharpening: A ReviewPan-sharpening Hyperspectral : revue

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〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal