Pixel-unmixing moderate-resolution remote sensing imagery using pairwise coupling support vector machines: A case study

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 11 PART 1, 2011, Pages 4298-4306

  Li, Hui ^a,b   Wang, Yunpeng ^a,b   Li, Yan ^c   Wang, Xingfang ^a,c  

^a GUANGZHOU INSTITUTE OF GEOCHEMISTRY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c SOUTH CHINA NORMAL UNIVERSITY   (China)

Author keywords

Pairwise coupling (PWC); pixel unmixing; support vector machines (SVMs)

Indexed keywords

CLASSIFICATION RESULTS; CONSTRAINED LEAST SQUARES METHOD; HIGH RESOLUTION; LAND USE/LAND COVER; PAIRWISE COUPLINGS; PIXEL UNMIXING; REMOTE SENSING IMAGERY; REMOTE SENSING IMAGES; SUPPORT VECTOR; UNMIXING;

COUPLINGS; IMAGE RECONSTRUCTION; LEAST SQUARES APPROXIMATIONS; PIXELS; REMOTE SENSING;

SUPPORT VECTOR MACHINES;

ARTIFICIAL INTELLIGENCE; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE RESOLUTION; LAND COVER; LAND USE; LEAST SQUARES METHOD; NONLINEARITY; PERFORMANCE ASSESSMENT; PIXEL; PROBABILITY; REMOTE SENSING; SPOT;

EID: 80455173939     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2161995     Document Type: Article

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