A novel approach to hyperspectral band selection based on spectral shape similarity analysis and fast branch and bound search

Engineering Applications of Artificial Intelligence

Volumn 27, Issue , 2014, Pages 241-250

  Li, Shijin ^a   Qiu, Jianbin ^a   Yang, Xinxin ^a   Liu, Huan ^b   Wan, Dingsheng ^a   Zhu, Yuelong ^a  

^a HOHAI UNIVERSITY   (China)

^b Arizona State University   (United States)

Author keywords

Branch and bound search; Conditional mutual information; Feature selection; Hyperspectral remote sensing; Key point of time series; Spectral clustering

Indexed keywords

BRANCH AND BOUND SEARCH; CONDITIONAL MUTUAL INFORMATION; HYPERSPECTRAL REMOTE SENSING; KEYPOINTS; SPECTRAL CLUSTERING;

EXTRACTION; FEATURE EXTRACTION; IMAGE RECONSTRUCTION; LINEAR PROGRAMMING; REMOTE SENSING; SPECTROSCOPY; SUPPORT VECTOR MACHINES; TIME SERIES;

IMAGE RETRIEVAL;

EID: 84888291350     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2013.07.010     Document Type: Article

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