Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images

Pattern Recognition

Volumn 51, Issue , 2016, Pages 295-309

  Feng, Jie ^a   Jiao, Licheng ^a   Liu, Fang ^a   Sun, Tao ^a   Zhang, Xiangrong ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Clonal selection algorithm; Hyperspectral images; Information theory; Maximum information and minimum redundancy; Unsupervised feature selection

Indexed keywords

IMAGE PROCESSING; INDEPENDENT COMPONENT ANALYSIS; INFORMATION THEORY; REDUNDANCY; SPECTROSCOPY;

ARTIFICIAL IMMUNE SYSTEM; CLONAL SELECTION ALGORITHMS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE PROCESSING; JOINT MUTUAL INFORMATIONS; LOW ORDER APPROXIMATION; RELAXED APPROXIMATION; UNSUPERVISED FEATURE SELECTION;

FEATURE EXTRACTION;

EID: 84955757691     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2015.08.018     Document Type: Article

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