Search Results for author: Stéphane May

Found 4 papers, 1 papers with code

Comparison of convolutional neural networks for cloudy optical images reconstruction from single or multitemporal joint SAR and optical images

1 code implementation1 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.

Image Reconstruction

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

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