Clément Dechesne

According to our database, Clément Dechesne authored at least 8 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Bayesian U-Net: Estimating Uncertainty in Semantic Segmentation of Earth Observation Images.

Clément Dechesne, Pierre Lassalle, Sébastien Lefèvre

Remote. Sens., 2021

Bayesian Deep Learning with Monte Carlo Dropout for Qualification of Semantic Segmentation.

Clément Dechesne, Pierre Lassalle, Sébastien Lefèvre

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2019

Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-Task Deep Learning.

Clément Dechesne, Sébastien Lefèvre, Rodolphe Vadaine, Guillaume Hajduch, Ronan Fablet

Remote. Sens., 2019

2018

Forest Stand Extraction: Which Optimal Remote Sensing Data Source(S)?

Clément Dechesne, Clément Mallet, Arnaud Le Bris, Valérie Gouet-Brunet

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Semantic segmentation of forest stand by join analysis of very high resolution multispectral image and 3D airborne Lidar data. (Segmentation sémantique de peuplement forestiers par analyse conjointe d'imagerie multispectrale très haute résolution et de données 3D Lidar aéroportées).

Clément Dechesne

PhD thesis, 2017

How to combine lidar and very high resolution multispectral images for forest stand segmentation?

Clément Dechesne, Clément Mallet, Arnaud Le Bris, Valérie Gouet-Brunet

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2015

Fast Forward Feature Selection of Hyperspectral Images for Classification With Gaussian Mixture Models.

Mathieu Fauvel, Clément Dechesne, Anthony Zullo, Frédéric Ferraty

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Fast forward feature selection for the nonlinear classification of hyperspectral images.

Mathieu Fauvel, Clément Dechesne, Anthony Zullo, Frédéric Ferraty

CoRR, 2015