A comparative study on linear regression-based noise estimation for hyperspectral imagery

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

Volumn 6, Issue 2, 2013, Pages 488-498

  Gao, Lianru ^a   Du, Qian ^b   Zhang, Bing ^a   Yang, Wei ^a   Wu, Yuanfeng ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Hyperspectral; multiple linear regressions; noise estimation

Indexed keywords

HYPER-SPECTRAL IMAGERIES; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; MULTIPLE LINEAR REGRESSIONS; NOISE ESTIMATION; REGRESSION-BASED ALGORITHMS; SIGNALTONOISE RATIO (SNR); SPECTRAL CORRELATION;

ALGORITHMS; INDEPENDENT COMPONENT ANALYSIS; LINEAR REGRESSION; SIGNAL TO NOISE RATIO;

SPECTROSCOPY;

ALGORITHM; COMPARATIVE STUDY; CORRELATION; ERROR ANALYSIS; EXPERIMENTAL STUDY; IMAGERY; MULTIPLE REGRESSION; NOISE; PIXEL; SIGNAL-TO-NOISE RATIO; SPECTRAL ANALYSIS;

EID: 84877924437     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2227245     Document Type: Article

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