An effective feature selection method for hyperspectral image classification based on genetic algorithm and support vector machine

Knowledge-Based Systems

Volumn 24, Issue 1, 2011, Pages 40-48

  Li, Shijin ^a   Wu, Hao ^a   Wan, Dingsheng ^a   Zhu, Jiali ^a  

^a HOHAI UNIVERSITY   (China)

Author keywords

Band selection; Branch and bound algorithm; Conditional mutual information; Genetic algorithm; Hyperspectral remote sensing; Support vector machine

Indexed keywords

BAND SELECTION; BENCHMARK DATA; BRANCH-AND-BOUND ALGORITHMS; CLASSIFICATION ACCURACY; COMPUTATIONAL COSTS; CONDITIONAL MUTUAL INFORMATION; FEATURE SELECTION METHODS; HYBRID FEATURES; HYPERSPECTRAL IMAGE CLASSIFICATION; HYPERSPECTRAL REMOTE SENSING; IMAGING TECHNOLOGY; LAND COVER; POST PROCESSING; TARGET DETECTION;

BRANCH AND BOUND METHOD; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LINEAR PROGRAMMING; RADAR TARGET RECOGNITION; REMOTE SENSING; SUPPORT VECTOR MACHINES; VECTORS;

GENETIC ALGORITHMS;

EID: 77957990796     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2010.07.003     Document Type: Article

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