Lucas Drumetz
Lucas Drumetz
IMT Atlantique, Lab-STICC, Brest, France
確認したメール アドレス: imt-atlantique.fr
タイトル
引用先
引用先
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
1142016
A new extended linear mixing model to address spectral variability
MA Veganzones, L Drumetz, G Tochon, M Dalla Mura, A Plaza, ...
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014
562014
Variability of the endmembers in spectral unmixing: recent advances
L Drumetz, J Chanussot, C Jutten
2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2016
32*2016
Hyperspectral image unmixing with endmember bundles and group sparsity inducing mixed norms
L Drumetz, TR Meyer, J Chanussot, AL Bertozzi, C Jutten
IEEE Transactions on Image Processing 28 (7), 3435-3450, 2019
192019
Hyperspectral unmixing with material variability using social sparsity
TR Meyer, L Drumetz, J Chanussot, AL Bertozzi, C Jutten
2016 IEEE International Conference on Image Processing (ICIP), 2187-2191, 2016
162016
Hyperspectral classification through unmixing abundance maps addressing spectral variability
E Ibarrola-Ulzurrun, L Drumetz, J Marcello, C Gonzalo-Martin, ...
IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4775-4788, 2019
132019
Hyperspectral local intrinsic dimensionality
L Drumetz, MA Veganzones, RM Gómez, G Tochon, M Dalla Mura, ...
IEEE Transactions on Geoscience and Remote Sensing 54 (7), 4063-4078, 2016
122016
Em-like learning chaotic dynamics from noisy and partial observations
D Nguyen, S Ouala, L Drumetz, R Fablet
arXiv preprint arXiv:1903.10335, 2019
112019
Relationships between nonlinear and space-variant linear models in hyperspectral image unmixing
L Drumetz, B Ehsandoust, J Chanussot, B Rivet, M Babaie-Zadeh, ...
IEEE Signal Processing Letters 24 (10), 1567-1571, 2017
112017
Binary partition tree-based local spectral unmixing
L Drumetz, MA Veganzones, R Marrero, G Tochon, M Dalla Mura, A Plaza, ...
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014
112014
Residual networks as flows of diffeomorphisms
F Rousseau, L Drumetz, R Fablet
Journal of Mathematical Imaging and Vision, 1-11, 2019
82019
Estimating the number of endmembers to use in spectral unmixing of hyperspectral data with collaborative sparsity
L Drumetz, G Tochon, J Chanussot, C Jutten
International Conference on Latent Variable Analysis and Signal Separation …, 2017
82017
Spectral variability aware blind hyperspectral image unmixing based on convex geometry
L Drumetz, J Chanussot, C Jutten, WK Ma, A Iwasaki
IEEE Transactions on Image Processing 29, 4568-4582, 2020
72020
Spectral unmixing: A derivation of the extended linear mixing model from the hapke model
L Drumetz, J Chanussot, C Jutten
IEEE Geoscience and Remote Sensing Letters, 2019
72019
Learning latent dynamics for partially-observed chaotic systems
S Ouala, D Nguyen, L Drumetz, B Chapron, A Pascual, F Collard, ...
arXiv preprint arXiv:1907.02452, 2019
72019
Endmember variability in hyperspectral image unmixing
L Drumetz
72016
Spectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review
RA Borsoi, T Imbiriba, JCM Bermudez, C Richard, J Chanussot, ...
arXiv preprint arXiv:2001.07307, 2020
62020
Endmembers as Directional Data for Robust Material Variability Retrieval in Hyperspectral Image Unmixing
L Drumetz, J Chanussot, A Iwasaki
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018
62018
Improved local spectral unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression
L Drumetz, G Tochon, MA Veganzones, J Chanussot, C Jutten
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
62017
From local to global unmixing of hyperspectral images to reveal spectral variability
G Tochon, L Drumetz, MA Veganzones, M Dalla Mura, J Chanussot
2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2016
52016
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