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Jocelyn Chanussot
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Publications
- 2021
- [j207]Jing Qin, Harlin Lee, Jocelyn T. Chi, Lucas Drumetz, Jocelyn Chanussot, Yifei Lou, Andrea L. Bertozzi:
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 59(4): 3338-3351 (2021) - 2020
- [j187]Lucas Drumetz, Jocelyn Chanussot, Christian Jutten:
Spectral Unmixing: A Derivation of the Extended Linear Mixing Model From the Hapke Model. IEEE Geosci. Remote. Sens. Lett. 17(11): 1866-1870 (2020) - [j171]Lucas Drumetz, Jocelyn Chanussot, Christian Jutten, Wing-Kin Ma, Akira Iwasaki:
Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry. IEEE Trans. Image Process. 29: 4568-4582 (2020) - 2019
- [j154]Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Javier Marcello, Consuelo Gonzalo-Martín, Jocelyn Chanussot:
Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability. IEEE Trans. Geosci. Remote. Sens. 57(7): 4775-4788 (2019) - [j147]Lucas Drumetz, Travis R. Meyer, Jocelyn Chanussot, Andrea L. Bertozzi, Christian Jutten:
Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms. IEEE Trans. Image Process. 28(7): 3435-3450 (2019) - 2018
- [c194]Lucas Drumetz, Jocelyn Chanussot, Akira Iwasaki:
Endmembers as Directional Data for Robust Material Variability Retrieval in Hyperspectral Image Unmixing. ICASSP 2018: 3404-3408 - [c192]Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Jocelyn Chanussot, Consuelo Gonzalo-Martín, Javier Marcello:
Extended Linear Mixing Model in an Ecosytem with High Spectral Variability. IGARSS 2018: 2685-2688 - [c186]Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Jocelyn Chanussot, Javier Marcello, Consuelo Gonzalo-Martín:
Classification Using Unmixing Models in Areas With Substantial Endmember Variability. WHISPERS 2018: 1-4 - 2017
- [j126]Lucas Drumetz, Bahram Ehsandoust, Jocelyn Chanussot, Bertrand Rivet, Massoud Babaie-Zadeh, Christian Jutten:
Relationships Between Nonlinear and Space-Variant Linear Models in Hyperspectral Image Unmixing. IEEE Signal Process. Lett. 24(10): 1567-1571 (2017) - [c184]Lucas Drumetz, Guillaume Tochon, Jocelyn Chanussot, Christian Jutten:
Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity. LVA/ICA 2017: 381-391 - [c182]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. ICASSP 2017: 6190-6194 - [c179]Alexandre Tiard, Laurent Condat, Lucas Drumetz, Jocelyn Chanussot, Wotao Yin, Xiaoxiang Zhu:
Robust linear unmixing with enhanced sparsity. ICIP 2017: 3140-3144 - 2016
- [j104]Lucas Drumetz, Miguel Angel Veganzones, Ruben Marrero Gomez, Guillaume Tochon, Mauro Dalla Mura, Giorgio A. Licciardi, Christian Jutten, Jocelyn Chanussot:
Hyperspectral Local Intrinsic Dimensionality. IEEE Trans. Geosci. Remote. Sens. 54(7): 4063-4078 (2016) - [j97]Lucas Drumetz, Miguel Angel Veganzones, Simon Henrot, Ronald Phlypo, Jocelyn Chanussot, Christian Jutten:
Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability. IEEE Trans. Image Process. 25(8): 3890-3905 (2016) - [c170]Miguel Angel Veganzones, Jeremy E. Cohen, Rodrigo Cabral Farias, Konstantin Usevich, Lucas Drumetz, Jocelyn Chanussot, Pierre Comon:
Canonical polyadic decomposition of hyperspectral patch tensors. EUSIPCO 2016: 2176-2180 - [c169]Travis R. Meyer, Lucas Drumetz, Jocelyn Chanussot, Andrea L. Bertozzi, Christian Jutten:
Hyperspectral unmixing with material variability using social sparsity. ICIP 2016: 2187-2191 - [c163]Lucas Drumetz, Jocelyn Chanussot, Christian Jutten:
Variability of the endmembers in spectral unmixing: Recent advances. WHISPERS 2016: 1-5 - [c160]Guillaume Tochon, Lucas Drumetz, Miguel Angel Veganzones, Mauro Dalla Mura, Jocelyn Chanussot:
From local to global unmixing of hyperspectral images to reveal spectral variability. WHISPERS 2016: 1-5 - 2015
- [j93]Lucas Drumetz, Mauro Dalla Mura, Samuel Meulenyzer, Sébastien Lombard, Jocelyn Chanussot:
Semiautomatic classification of cementitious materials using scanning electron microscope images. J. Electronic Imaging 24(6): 061109 (2015) - [c145]Lucas Drumetz, Simon Henrot, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten:
Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability. WHISPERS 2015: 1-4 - 2014
- [c123]Lucas Drumetz, Miguel Angel Veganzones, Ruben Marrero, Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, Jocelyn Chanussot:
Binary partition tree-based local spectral unmixing. WHISPERS 2014: 1-4 - [c120]Miguel Angel Veganzones, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, José M. Bioucas-Dias, Jocelyn Chanussot:
A new extended linear mixing model to address spectral variability. WHISPERS 2014: 1-4
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