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07/19/2019
Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images
Hyperspectral unmixing aims at identifying a set of elementary spectra a...
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02/07/2019
Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis
Supervised classification and representation learning are two widely use...
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04/30/2018
Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity
Spectral variability is one of the major issue when conducting hyperspec...
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12/01/2017
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning
Within a supervised classification framework, labeled data are used to l...
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01/05/2015
