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Volumn , Issue , 2012, Pages

New automated method for estimating the number of endmembers in hyperspectral images

Author keywords

dimensionality reduction; endmember; Hyperspectral imagery; signal subspace

Indexed keywords

ALGORITHMS; DATA COMPRESSION; INDEPENDENT COMPONENT ANALYSIS; REMOTE SENSING; SIGNAL ANALYSIS;

EID: 84906544607     PISSN: 21586276     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2012.6874257     Document Type: Conference Paper
Times cited : (2)

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    • Wu, C.-C.1    Liu, W.2    Chang, C.-J.3
  • 4
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    • A new look at the statistical model identification
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  • 9
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    • A transformation for ordering multispectral data in terms of images quality with implications for noise removal
    • Green, A. A., Berman, M., Switzer, P. and Craig, M. D., "A Transformation for Ordering Multispectral Data in Terms of Images Quality with Implications for Noise Removal", IEEE Transactions on Geoscience and Remote Sensing, v.26, no. l, pp. 65-74, 1988.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.