[en] MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORKS FOR MULTITEMPORAL CROP RECOGNITION USING SAR IMAGE SEQUENCES

[en] MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORKS FOR MULTITEMPORAL CROP RECOGNITION USING SAR IMAGE SEQUENCES

[pt] Este trabalho propõe e avalia arquiteturas profundas para o reconhecimento de culturas agrícolas a partir de seqüências de imagens multitemporais de sensoriamento remoto. Essas arquiteturas combinam a capacidade de modelar contexto espacial prórpia de redes totalmente convolucionais com a capac...

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Bibliographic Details
Main Author:	JORGE ANDRES CHAMORRO MARTINEZ
Other Authors:	RAUL QUEIROZ FEITOSA
Language:	en
Published:	MAXWELL 2020
Subjects:	[pt] SENSORIAMENTO REMOTO [en] REMOTE SENSING [pt] RECONHECIMENTO DE CULTURAS [en] CROP RECOGNITION [pt] REDES TOTALMENTE CONVOLUCIONAIS [en] FULLY CONVOLUTIONAL NETWORKS [pt] REDES RECORRENTES [en] RECURRENT NETWORKS
Online Access:	https://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=47770@1 https://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=47770@2 http://doi.org/10.17771/PUCRio.acad.47770

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