Fast algorithms for robust hyperspectral endmember extraction based on worst-case simplex volume maximization

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2012, Pages 1237-1240

  Chan, Tsung Han ^a   Liou, Ji Yuan ^a   Ambikapathi, ArulMurugan ^a   Ma, Wing Kin ^b   Chi, Chong Yung ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Fast algorithms; Hyperspectral images; Robust endmember extraction; Simplex volume maximization

Indexed keywords

ENDMEMBER EXTRACTION; ENDMEMBERS; FAST ALGORITHMS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; HYPERSPECTRAL DATA; IMPLEMENTATION COMPLEXITY; MAX-MIN; MONTE CARLO SIMULATION; OPTIMIZATION PROBLEMS; PERFORMANCE IMPROVEMENTS; ROBUST ALGORITHM; ROBUST CRITERIA; ROBUSTNESS AGAINST NOISE; VOLUME MAXIMIZATION;

ACOUSTIC NOISE; MONTE CARLO METHODS; SIGNAL PROCESSING; SPECTROSCOPY;

ALGORITHMS;

EID: 84867586735     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6288112     Document Type: Conference Paper

References (10)

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