A self-trained semisupervised SVM approach to the remote sensing land cover classification

Computers and Geosciences

Volumn 59, Issue , 2013, Pages 98-107

  Liu, Ying ^a,b,c   Zhang, Bai ^b   Wang, Li min ^a   Wang, Nan ^a  

^a JILIN UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^b NORTHEAST INSTITUTE OF GEOGRAPHY AND AGRICULTURAL ECOLOGY   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Gustafson Kessel fuzzy clustering; Land cover classification; Self adaptive mutation particle swarm optimization; Self training; Semisupervised support vector machines

Indexed keywords

GUSTAFSON-KESSEL; LAND COVER CLASSIFICATION; SELF-ADAPTIVE MUTATION; SELF-TRAINING; SEMI-SUPERVISED;

ALGORITHMS; FUZZY CLUSTERING; REMOTE SENSING;

SUPPORT VECTOR MACHINES;

ALGORITHM; ARTIFICIAL INTELLIGENCE; LAND CLASSIFICATION; LAND COVER; OPTIMIZATION; REMOTE SENSING;

EID: 84880362774     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2013.03.024     Document Type: Article

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