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.
1 code implementation • 1 Apr 2022 • Rémi Cresson, Nicolas Narçon, Raffaele Gaetano, Aurore Dupuis, Yannick Tanguy, Stéphane May, Benjamin Commandre
With the increasing availability of optical and synthetic aperture radar (SAR) images thanks to the Sentinel constellation, and the explosion of deep learning, new methods have emerged in recent years to tackle the reconstruction of optical images that are impacted by clouds.