Customizing Kernel functions for SVM-based hyperspectral image classification

IEEE Transactions on Image Processing

Volumn 17, Issue 4, 2008, Pages 622-629

  Guo, Baofeng ^a   Gunn, Steve R ^a   Damper, R I ^a   Nelson, James D B ^b  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Hyperspectral image processing; Mutual information (MI); Remote sensing; Support vector machines (SVMs)

Indexed keywords

IMAGE SENSORS; OPTIMIZATION; REMOTE SENSING; SUPPORT VECTOR MACHINES;

HYPERSPECTRAL IMAGE PROCESSING; KERNEL METHODS; MUTUAL INFORMATION;

IMAGE CLASSIFICATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 41849112041     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2008.918955     Document Type: Article

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