1 code implementation • 5 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.
no code implementations • 30 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.
no code implementations • 1 Dec 2017 • Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
Within a supervised classification framework, labeled data are used to learn classifier parameters.
no code implementations • 7 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.
no code implementations • 19 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.