Variants of principal components analysis

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2007, Pages 1083-1086

  Liu, Wei Min ^a   Chang, Chein I ^a  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

Dimensionality reduction (DR); Principal components analysis (PCA); PRioritized PCA (PRPCA); ProGressive PCA (PGPCA); SiMultaneous PCA (SMPCA); Successive PCA (SCPCA)

Indexed keywords

DIMENSIONALITY REDUCTION (DR); PROGRESSIVE PCA (PGPCA); SUCCESSIVE PCA (SCPCA);

COVARIANCE MATRIX; MATHEMATICAL TRANSFORMATIONS; STATISTICS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 82355172879     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2007.4422989     Document Type: Conference Paper

References (6)

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6. J. C. Harsanyi, Detection and Classification of Subpixel Spectral Signatures in Hyperspectral Image Sequences, Department of Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, August 1993.