An operational approach to PCA+JPEG2000 compression of hyperspectral imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 6, 2014, Pages 2237-2245

  Du, Qian ^a   Ly, Nam ^a   Fowler, James E ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

anomaly detection; classification; Hyperspectral image compression; linear unmixing

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DIGITAL IMAGE STORAGE; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SPECTROSCOPY;

ANOMALY DETECTION; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL IMAGE COMPRESSION; JPEG2000 COMPRESSION; LINEAR UNMIXING; PRINCIPAL COMPONENTS; SIGNALTONOISE RATIO (SNR); SPECTRAL DECORRELATION;

DATA COMPRESSION;

ALGORITHM; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE PROCESSING; PIXEL; REMOTE SENSING; SIGNAL-TO-NOISE RATIO; SPECTRAL ANALYSIS;

EID: 84905910763     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2274527     Document Type: Article

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