Using Neural Networks and Machine Learning Methods to Detect Clearcut Regions in SENTINEL–2 Satellite Imagery
Author:
Affiliation:
1. Bauman Moscow State Technical University,Department of Information Processing and Management Systems,Moscow,Russian Federation
Funder
Russian Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10467195/10468070/10468143.pdf?arnumber=10468143
Reference11 articles.
1. Earthquake damage detection using satellite images (case study: Sarpol-Zahab Earthquake);Aali;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2019
2. Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks
3. Open-source multispectral remote sensing data for the investigation of plant communities
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