Limitations of principal components analysis for hyperspectral target recognition

IEEE Geoscience and Remote Sensing Letters

Volumn 5, Issue 4, 2008, Pages 625-629

  Prasad, Saurabh ^a   Bruce, Lori Mann ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Dimensionality reduction; Feature extraction; Hyperspectral; Image classification; Pattern classification

Indexed keywords

ATMOSPHERICS; DISCRIMINANT ANALYSIS; ELECTRIC NETWORK ANALYSIS; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE CLASSIFICATION; KETONES; REMOTE SENSING; SPACE OPTICS; STATISTICAL METHODS;

APPLICATIONS.; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTIONS; DISCRIMINATION POWERS; EXPERIMENTAL EVIDENCES; FISHER'S LINEAR DISCRIMINANT ANALYSES; GENERAL PATTERNS; HYPERSPECTRAL; HYPERSPECTRAL IMAGING; NULL SPACES; PATTERN CLASSIFICATION; PREPROCESSOR; PRINCIPAL COMPONENTS ANALYSES; SUB SPACES; TARGET RECOGNITIONS; THEORETICAL ANALYSES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 55649122577     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2008.2001282     Document Type: Article

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