Binary tree of posterior probability support vector machines for hyperspectral image classification

Journal of Applied Remote Sensing

Volumn 5, Issue 1, 2011, Pages

  Wang, Dongli ^a,b   Zhou, Yan ^a   Zheng, Jianguo ^b  

^a XIANGTAN UNIVERSITY   (China)

^b DONGHUA UNIVERSITY   (China)

Author keywords

binary tree; Fisher ratio; hyperspectral image classification; support vector machines

Indexed keywords

HYPERSPECTRAL IMAGING; IMAGE CLASSIFICATION; REMOTE SENSING; SEPARATION; SPECTROSCOPY; SUPPORT VECTOR MACHINES; TREES (MATHEMATICS); VECTORS;

BINARY TREE STRUCTURE; CLASS SEPARABILITY MEASURE; CLASSIFICATION ACCURACY; CONVERGENCE PERFORMANCE; FISHER RATIO; HYPERSPECTRAL REMOTE SENSING IMAGE; MULTICLASS CLASSIFICATION PROBLEMS; POSTERIOR PROBABILITY SUPPORT VECTOR MACHINES;

BINARY TREES;

ALGORITHMS; CLASSIFICATION; IMAGE ANALYSIS; PROBABILITY; PROBLEM SOLVING; REMOTE SENSING;

EID: 80054061256     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.3553800     Document Type: Article

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