Deep recurrent neural network for agricultural classification using multitemporal SAR Sentinel-1 for Camargue, France

Remote Sensing

Volumn 10, Issue 8, 2018, Pages

  Ndikumana, Emile ^a   Minh, Dinh Ho Tong ^a   Baghdadi, Nicolas ^a   Courault, Dominique ^b   Hossard, Laure ^a  

^a UNIV MONTPELLIER   (France)

^b UNIVERSITY OF AVIGNON   (France)

Author keywords

Agricultural land cover map; Camargue; France; Gated recurrent unit; K nearest neighbors; Long short term memory; Random forest; Recurrent neural network; SAR; Sentinel 1; Vector support machines

Indexed keywords

CROPS; DECISION TREES; DEEP NEURAL NETWORKS; GEOMETRICAL OPTICS; IMAGE ENHANCEMENT; LONG SHORT-TERM MEMORY; MAPPING; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; RECURRENT NEURAL NETWORKS; REMOTE SENSING; SPACE FLIGHT; SPACE-BASED RADAR; SYNTHETIC APERTURE RADAR; TIME SERIES; TIME SERIES ANALYSIS;

AGRICULTURAL LAND; CAMARGUE; FRANCE; GATED RECURRENT UNIT; K-NEAREST NEIGHBORS; RANDOM FORESTS; SENTINEL-1;

RADAR IMAGING;

EID: 85051656995     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10081217     Document Type: Article

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