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APPLYING FULLY CONVOLUTIONAL ARCHITECTURES FOR THE SEMANTIC SEGMENTATION OF UAV, AIRBORN, AND SATELLITE REMOTE SENSING IMAGERY
Author(s) -
DALIANA LOBO TORRES
Publication year - 2020
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17771/pucrio.acad.50784
Subject(s) - remote sensing , satellite imagery , satellite , computer science , segmentation , artificial intelligence , convolutional neural network , computer vision , geology , engineering , aerospace engineering

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