Maximum orthogonal subspace projection approach to estimating the number of spectral signal sources in hyperspectral imagery

IEEE Journal on Selected Topics in Signal Processing

Volumn 5, Issue 3, 2011, Pages 504-520

  Chang, Chein I ^a,b,c,d   Xiong, Wei ^a   Chen, Hsian Min ^b   Chai, Jyh Wen ^d,e  

^a Baltimore County   (United States)

^b NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^c PROVIDENCE UNIVERSITY   (Taiwan)

^d TAICHUNG VETERANS GENERAL HOSPITAL   (Taiwan)

^e CHINA MEDICAL UNIVERSITY   (Taiwan)

Author keywords

automatic target generation process (ATGP) NeymanPearson detector (ATGP NPD); HarsanyiFarrand Chang (HFC) method; maximum orthogonal complement algorithm (MOCA); maximum orthogonal subspace projection (MOSP); minimax SVD (MX SVD); virtual dimensionality (VD)

Indexed keywords

AUTOMATIC TARGET GENERATION PROCESS (ATGP)/NEYMANPEARSON DETECTOR (ATGP/NPD); HARSANYIFARRAND CHANG (HFC) METHOD; MAXIMUM ORTHOGONAL COMPLEMENT ALGORITHM (MOCA); MAXIMUM ORTHOGONAL SUBSPACE PROJECTION (MOSP); MINIMAX-SVD (MX-SVD); VIRTUAL DIMENSIONALITY;

ALGORITHMS; DETECTORS; ESTIMATION; INTERFERENCE SUPPRESSION; REMOTE SENSING; VECTOR SPACES;

VECTORS;

EID: 79957531516     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2011.2134068     Document Type: Article

References (29)

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