Low-complexity principal component analysis for hyperspectral image compression

International Journal of High Performance Computing Applications

Volumn 22, Issue 4, 2008, Pages 438-448

  Du, Qian ^a   Fowler, James E ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Anomaly detection; Hyperspectral image compression; JPEG2000; Principal component analysis; Spectral decorrelation

Indexed keywords

COVARIANCE MATRIX; DATA COMPRESSION; DIGITAL IMAGE STORAGE; IMAGE COMPRESSION; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL TRANSFORMATIONS;

ANOMALY DETECTION; COMPUTATION BURDENS; COMPUTATIONAL COSTS; DETECTION TASKS; EFFECTIVE TOOLS; HYPERSPECTRAL IMAGE COMPRESSION; HYPERSPECTRAL IMAGE COMPRESSIONS; HYPERSPECTRAL IMAGERIES; HYPERSPECTRAL IMAGES; ITERATIVE ALGORITHMS; JPEG2000; PCA TRANSFORMS; PRINCIPAL COMPONENTS; RATE DISTORTIONS; SPECTRAL DECORRELATION; SPECTRAL TRANSFORMS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 55549103722     PISSN: 10943420     EISSN: 17412846     Source Type: Journal    
DOI: 10.1177/1094342007088380     Document Type: Article

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