GA-SVM Algorithm for Improving Land-Cover Classification Using SAR and Optical Remote Sensing Data

IEEE Geoscience and Remote Sensing Letters

Volumn 14, Issue 3, 2017, Pages 284-288

  Sukawattanavijit, Chanika ^a   Chen, Jie ^a,b   Zhang, Hongsheng ^c  

^a BEIHANG UNIVERSITY   (China)

^b Wuhan University   (China)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Genetic algorithms (GAs); image fusion; land cover classification; multisource data; optical imagery; support vector machine (SVM); synthetic aperture radar (SAR)

Indexed keywords

FEATURE EXTRACTION; GENETIC ALGORITHMS; OPTIMIZATION; RADAR IMAGING; REMOTE SENSING; SUPPORT VECTOR MACHINES; SYNTHETIC APERTURE RADAR;

CLASSIFICATION ACCURACY; GENETIC ALGORITHM (GAS); GRID-SEARCH ALGORITHM; LAND COVER CLASSIFICATION; MULTISOURCE REMOTE SENSING DATA; OPTICAL REMOTE SENSING DATA; PARAMETER OPTIMIZATION; SUPPORT VECTOR MACHINE (SVMS);

CLASSIFICATION (OF INFORMATION);

EID: 85010703205     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2016.2628406     Document Type: Article

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