Search Results for author: Mathieu Fauvel

Found 5 papers, 1 papers with code

Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images

no code implementations19 Jul 2019 Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon

The most common way to introduce spatial information is to rely on a spatial regularization of the abundance maps.

Hyperspectral Unmixing

Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis

no code implementations7 Feb 2019 Adrien Lagrange, Mathieu Fauvel, Stéphane May, José Bioucas-Dias, Nicolas Dobigeon

The attribution vectors of the clustering are then used as features vectors for the classification task, i. e., the coding vectors of the corresponding factorization problem.

Classification Clustering +3

Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity

no code implementations30 Apr 2018 Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon

The proposed method is designed to promote sparsity on the selection of both spectra and classes within each pixel.

Hyperspectral Unmixing

Fast forward feature selection for the nonlinear classification of hyperspectral images

1 code implementation5 Jan 2015 Mathieu Fauvel, Clement Dechesne, Anthony Zullo, Frédéric Ferraty

Experimental results for two real hyperspectral data sets show that the method performs very well in terms of classification accuracy and processing time.

Classification feature selection +2

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