Samuel Foucher

Scientific researcher,
Université de Sherbrooke

Centre de recherche informatique de Montréal
Institution page


Experienced Senior Researcher with a demonstrated history of working in the information technology and in applied research projects. Strong research professional skilled in Computer Vision, Remote Sensing and Machine Learning.


5- CJRS’ Special Issue on Deep Learning for Environmental Applications of Remote Sensing Data
Journal Article
Mahdianpari M , Homayouni S , Foucher S ,
2021 Canadian Journal of Remote Sensing (Date Added: 2021-11-05)

4- Deep Learning-Based Classification of Large-Scale Airborne LiDAR Point Cloud
Journal Article
Turgeon-Pelchat M , Foucher S , Bouroubi Y ,
2021 Canadian Journal of Remote Sensing (Date Added: 2021-11-05)

3- Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks
Journal Article
Delplanque A , Foucher S , Lejeune P , Linchant J , Théau J ,
2021 Remote Sensing in Ecology and Conservation (Date Added: 2021-08-14)

2- Automatic Detection of Flavescence Dorée Symptoms Across White Grapevine Varieties Using Deep Learning
Journal Article
Boulent J , St-Charles P , Foucher S , Théau J ,
2020 Frontiers in Artificial Intelligence (Date Added: 2021-11-05)

1- New Interferometric Phase Unwrapping Method Based on Energy Minimization from Contextual Modeling
Journal Article
Tlili A , Cavayas F , Foucher S , Siles G L ,
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Date Added: 2021-11-05)