Open AccessAPPLYING 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) - segmentation , computer science , discriminative model , conditional random field , convolutional neural network , artificial intelligence , aerial imagery , deep learning , satellite imagery , remote sensing , image segmentation , remote sensing application , geography , hyperspectral imaging
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