72 citations · 287 across the 33 of their papers we have counts for
5 papers · 1 filter
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch +1
The Copernicus Sentinel-2 program now provides multispectral images at a global scale with a high revisit rate. In this paper we explore the usage of convolutional neural networks…
Fully Convolutional Siamese Networks for Change Detection
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch
This paper presents three fully convolutional neural network architectures which perform change detection using a pair of coregistered images. Most notably, we propose two Siamese…
Multitask Learning for Large-scale Semantic Change Detection
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch +1
Change detection is one of the main problems in remote sensing, and is essential to the accurate processing and understanding of the large scale Earth observation data available th…
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux +2
Depth estimation is of critical interest for scene understanding and accurate 3D reconstruction. Most recent approaches in depth estimation with deep learning exploit geometrical s…
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
This work addresses the scarcity of annotated hyperspectral data required to train deep neural networks. Especially, we investigate generative adversarial networks and their applic…