Toward the Use of Deep Learning for Topographic Feature Extraction from High Resolution Optical Satellite Imagery
Mathieu Turgeon-Pelchat
Canada Centre for Mapping and Earth Observation, Natural Resources Canada
Mathieu Turgeon-Pelchat is a graduate of the Université de Sherbrooke where he received a Bachelor’s degree in applied geomatics. Mathieu has been working for the Canada Centre for Mapping and Earth Observation since 2016 and his work involves geographic feature extraction. Specifically, he is interested in the development and implementation of automatic extraction methods based on deep learning.
Authors
- Mathieu Turgeon-Pelchat (Canada Centre for Mapping and Earth Observation, Natural Resources Canada)
- Jean-samuel Proulx-bourque (Canada Centre for Mapping and Earth Observation, Natural Resources Canada)
Topic Area
Special Sessions: Machine Learning in Remote Sensing Image Classification
Session
OS-1D » Machine learning in remote sensing image classification_1 (10:20 - Tuesday, 19th June, BIOL 124)