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MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORKS FOR MULTITEMPORAL CROP RECOGNITION USING SAR IMAGE SEQUENCES
Author(s) -
JORGE ANDRES CHAMORRO MARTINEZ
Publication year - 2019
Language(s) - Uncategorized
Resource type - Dissertations/theses
DOI - 10.17771/pucrio.acad.47770
Subject(s) - computer science , deep learning , artificial intelligence , convolutional neural network , pattern recognition (psychology) , image (mathematics) , crop rotation , machine learning , crop , geography , forestry

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