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Volumn 5806, Issue PART I, 2005, Pages 298-306

An improved N-FINDR algorithm in implementation

Author keywords

Endmember extraction algorithm (EEA); Endmember initialization algorithm (EIA); N FINDR algorithm; Virtual Dimensionality (VD)

Indexed keywords

ENDMEMBER EXTRACTION ALGORITHMS; ENDMEMBER INITIALIZATION ALGORITHMS; N-FINDR ALGORITHMS; VIRTUAL DIMENSIONALITY;

EID: 27544433639     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.602373     Document Type: Conference Paper
Times cited : (61)

References (10)
  • 2
    • 0033310314 scopus 로고    scopus 로고
    • N-FINDR: An algorithm for fast autonomous spectral endmember determination in hyperspectral data
    • M.E. Winter, "N-FINDR: an algorithm for fast autonomous spectral endmember determination in hyperspectral data," Imaging Spectrometry V, Proc. SPIE 3753, pp. 266-277, 1999.
    • (1999) Imaging Spectrometry V, Proc. SPIE , vol.3753 , pp. 266-277
    • Winter, M.E.1
  • 6
    • 1842481516 scopus 로고    scopus 로고
    • Estimation of number of spectrally distinct signal sources in hyperspectral imagery
    • March
    • C.-I Chang and Q. Du, "Estimation of number of spectrally distinct signal sources in hyperspectral imagery," IEEE Trans, on Geoscience and Remote Sensing, vol. 42, no. 3, pp. 608-619, March 2004.
    • (2004) IEEE Trans, on Geoscience and Remote Sensing , vol.42 , Issue.3 , pp. 608-619
    • Chang, C.-I.1    Du, Q.2
  • 8
    • 12144289543 scopus 로고    scopus 로고
    • A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data
    • March
    • A. Plaza, P. Martinez, R. Pérez and J. Plaza, "A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data," IEEE Trans. On Geoscience and Remote Sensing, vol. 42, no. 3, pp. 650-663, March 2004.
    • (2004) IEEE Trans. on Geoscience and Remote Sensing , vol.42 , Issue.3 , pp. 650-663
    • Plaza, A.1    Martinez, P.2    Pérez, R.3    Plaza, J.4
  • 9
    • 0035273728 scopus 로고    scopus 로고
    • Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery
    • March
    • D. Heinz and C.-I Chang, "Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery," IEEE Trans. on Geoscience and Remote Sensing, vol. 39, no. 3, pp. 529-545, March 2001.
    • (2001) IEEE Trans. on Geoscience and Remote Sensing , vol.39 , Issue.3 , pp. 529-545
    • Heinz, D.1    Chang, C.-I.2
  • 10
    • 0023854011 scopus 로고
    • A transformation for ordering multispectral data in terms of image quality with implications for noise removal
    • A.A. Green, A.A. M. Berman, P. Switzer and M.D. Craig, "A transformation for ordering multispectral data in terms of image quality with implications for noise removal," IEEE Trans. on Geoscience and Remote Sensing, vol. 26, pp. 65-74, 1988.
    • (1988) IEEE Trans. on Geoscience and Remote Sensing , vol.26 , pp. 65-74
    • Green, A.A.1    Berman, A.A.M.2    Switzer, P.3    Craig, M.D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.