An improved SVM method P-SVM for classification of remotely sensed data

International Journal of Remote Sensing

Volumn 29, Issue 20, 2008, Pages 6029-6036

  Zhang, R ^a,b   Ma, J ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); REMOTE SENSING; SPECTROSCOPY;

ACCURACY OF CLASSIFICATIONS; HIGH SPATIAL RESOLUTION; HIGH-DIMENSIONAL FEATURE SPACE; HYPER-SPECTRAL IMAGERIES; LINEARLY INSEPARABLE; MATHEMATICAL TOOLS; REMOTELY SENSED DATA; STRUCTURAL RISK MINIMIZATION PRINCIPLE;

SUPPORT VECTOR MACHINES;

ACCURACY ASSESSMENT; ALGORITHM; CLASSIFICATION; MULTISPECTRAL IMAGE; REMOTE SENSING; SATELLITE IMAGERY; SPECTRAL ANALYSIS; VECTOR;

EID: 52649173882     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802220151     Document Type: Article

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