Component analysis-based unsupervised linear spectral mixture analysis for hyperspectral imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 11 PART 1, 2011, Pages 4123-4137

  Chang, Chein I ^a,b,c,d   Jiao, Xiaoli ^a   Wu, Chao Cheng ^e   Du, Eliza Yingzi ^f   Chen, Hsian Min ^g  

^a Baltimore County   (United States)

^b NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^c PROVIDENCE UNIVERSITY   (Taiwan)

^d TAICHUNG VETERANS GENERAL HOSPITAL   (Taiwan)

^e NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^f Indiana University Purdue University Indianapolis   (United States)

^g HUNGKUANG UNIVERSITY   (Taiwan)

Author keywords

Component analysis (CA); inter band spectral information (IBSI); supervised linear spectral mixture analysis (SLSMA); unsupervised linear spectral mixture analysis (ULSMA); unsupervised virtual signature finding algorithm (UVSFA); virtual dimensionality (VD); virtual signature (VS)

Indexed keywords

COMPONENT ANALYSIS (CA); FINDING ALGORITHM; LINEAR SPECTRAL MIXTURE ANALYSIS; SPECTRAL INFORMATION; VIRTUAL DIMENSIONALITY; VIRTUAL SIGNATURE (VS);

REMOTE SENSING;

MIXTURES;

DATA SET; IMAGE ANALYSIS; LINEARITY; NUMERICAL MODEL; SPECTRAL ANALYSIS;

EID: 80455174026     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2142419     Document Type: Article

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