Learn multiple-kernel SVMs for domain adaptation in hyperspectral data

IEEE Geoscience and Remote Sensing Letters

Volumn 10, Issue 5, 2013, Pages 1224-1228

  Sun, Zhuo ^a   Wang, Cheng ^a   Wang, Hanyun ^b   Li, Jonathan ^a,c  

^a XIAMEN UNIVERSITY   (China)

^b NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^c UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Domain adaptation (DA); hyperspectral image classification; maximum mean discrepancy (MMD); remote sensing; sample selection bias; support vector machines (SVMs)

Indexed keywords

DOMAIN ADAPTATION; HYPERSPECTRAL IMAGE CLASSIFICATION; MAXIMUM MEAN DISCREPANCY (MMD); SAMPLE SELECTION BIAS; SUPPORT VECTOR MACHINE (SVMS);

CLASSIFICATION (OF INFORMATION); IMAGE CLASSIFICATION; REMOTE SENSING; SPECTROSCOPY;

SUPPORT VECTOR MACHINES;

EID: 84879901809     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2012.2236818     Document Type: Article

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