A fuzzy-statistics-based principal component analysis (FS-PCA) method for multispectral image enhancement and display

IEEE Transactions on Geoscience and Remote Sensing

Volumn 46, Issue 11, 2008, Pages 3937-3947

  Yang, Chen ^a   Lu, Laijun ^a   Lin, Heping ^b   Guan, Renchu ^a   Shi, Xiaohu ^a   Liang, Yanchun ^a  

^a JILIN UNIVERSITY   (China)

^b NORTHEAST NORMAL UNIVERSITY   (China)

Author keywords

Classical principal component analysis (PCA); Fuzzy statistic; Fuzzy statistics based PCA (FS PCA); Multispectral image enhancement and display; Univariate and multivariate image statistics characteristics

Indexed keywords

IMAGE ENHANCEMENT; IMAGE PROCESSING; MULTIVARIANT ANALYSIS; REMOTE SENSING; STATISTICAL METHODS; STATISTICS;

CLASSICAL PRINCIPAL COMPONENT ANALYSIS (PCA); FUZZY STATISTIC; FUZZY-STATISTICS-BASED PCA (FS-PCA); MULTISPECTRAL IMAGE ENHANCEMENT AND DISPLAY; UNIVARIATE AND MULTIVARIATE IMAGE STATISTICS CHARACTERISTICS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 56849119225     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2008.2001386     Document Type: Article

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