Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks

IEEE Geoscience and Remote Sensing Letters

Volumn 14, Issue 10, 2017, Pages 1685-1689

  Ienco, DIno ^a,b,c   Gaetano, Raffaele ^a   Dupaquier, Claire ^a   Maurel, Pierre ^a  

^a UMR TETIS   (France)

^b LIRMM   (France)

^c UNIV MONTPELLIER   (France)

Author keywords

Deep learning; land cover classification; recurrent neural networks (RNNs); satellite image time series

Indexed keywords

DEEP LEARNING; DEEP NEURAL NETWORKS; LONG SHORT-TERM MEMORY; NEURAL NETWORKS; RECURRENT NEURAL NETWORKS; REMOTE SENSING; SATELLITES; TIME SERIES;

CONVOLUTIONAL NEURAL NETWORK; EARTH OBSERVATION PROGRAMS; FEATURE REPRESENTATION; LAND COVER CLASSIFICATION; OBJECT-BASED CLASSIFICATIONS; RECURRENT NEURAL NETWORK (RNNS); SATELLITE IMAGES; SCENE CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

EID: 85029152660     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2017.2728698     Document Type: Article

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