Multi-class support vector machine classifier based on separability measure for hyperspectral remote sensing image classification

Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University

Volumn 36, Issue 2, 2011, Pages 171-175

  Tan, Kun ^a,b   Du, Peijun ^a,b   Wang, Xiaomei ^a,b  

^a Key Laborabory for Land Environment   (China)

^b CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

Classification; Hyperspectral remote sensing; Multi class support vector machine; Separability measure

Indexed keywords

CLASSIFICATION; HYPER-SPECTRAL IMAGES; HYPERION; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGE CLASSIFICATION; HYPERSPECTRAL REMOTE SENSING; HYPERSPECTRAL REMOTE SENSING IMAGE; MINIMUM DISTANCE; MULTI-CLASS SUPPORT VECTOR MACHINE; MULTI-CLASS SUPPORT VECTOR MACHINES; MULTICLASS SVM; SEPARABILITY MEASURE; SPECTRAL ANGLE MAPPING; SVM THEORY; TREE CLASSIFIERS;

BINARY TREES; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE RECONSTRUCTION; PHOTOMAPPING; REMOTE SENSING; SUPPORT VECTOR MACHINES;

TREES (MATHEMATICS);

DATA INTERPRETATION; IMAGE CLASSIFICATION; IMAGE RESOLUTION; MAPPING; REMOTE SENSING; SPECTRAL RESOLUTION;

HYPERION;

EID: 79953673003     PISSN: 16718860     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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