Open AccessA COMPARISON OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE BRAZILIAN AMAZON AND CERRADO BIOMES FROM REMOTE SENSING IMAGERY
Author(s) -
MABEL XIMENA ORTEGA ADARME
Publication year - 2019
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17771/pucrio.acad.47799
Subject(s) - deforestation (computer science) , amazon rainforest , support vector machine , biome , baseline (sea) , artificial intelligence , computer science , remote sensing , satellite imagery , geography , convolutional neural network , machine learning , ecology , ecosystem , oceanography , geology , biology , programming language
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