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Volumn , Issue , 2007, Pages 3814-3816

Does an endmember set really yield maximum simplex volume?

Author keywords

Automatic target generation process (ATGP); Endmember extraction; Fully constrained least squares; N FINDR; Vertex component analysis (VCA)

Indexed keywords

AUTOMATIC TARGET GENERATION PROCESS (ATGP); ENDMEMBER EXTRACTION; FULLY CONSTRAINED LEAST SQUARES; VERTEX COMPONENT ANALYSIS (VCA);

EID: 77950951010     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2007.4423674     Document Type: Conference Paper
Times cited : (8)

References (9)
  • 1
    • 0028742731 scopus 로고
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    • (1994) Proc. Int. Geo. and Remote Sensing Symp , pp. 2369-2371
    • Boardman, J.W.1
  • 2
    • 16444373735 scopus 로고    scopus 로고
    • Vertex component analysis: A fast algorithm to unmix hyperspectral data
    • April
    • J.M.P. Nascimento and J.M. Dias, "Vertex component analysis: a fast algorithm to unmix hyperspectral data," IEEE Trans. Geoscience and Remote Sensing, vol. 43, no. 4, pp. 898-910, April 2005.
    • (2005) IEEE Trans. Geoscience and Remote Sensing , vol.43 , Issue.4 , pp. 898-910
    • Nascimento, J.M.P.1    Dias, J.M.2
  • 3
    • 0028427066 scopus 로고
    • Minimum-volume transforms for remotely sensed data
    • M.D. Craig, "Minimum-volume transforms for remotely sensed data," IEEE Trans. on Geo. and Remote Sensing, vol. 32, pp. 542-552, 1994.
    • (1994) IEEE Trans. on Geo. and Remote Sensing , vol.32 , pp. 542-552
    • Craig, M.D.1
  • 5
    • 0033310314 scopus 로고    scopus 로고
    • N-finder: An algorithm for fast autonomous spectral endmember determination in hyperspectral data, Image Spectrometry V
    • M.E. Winter, "N-finder: an algorithm for fast autonomous spectral endmember determination in hyperspectral data," Image Spectrometry V, Proc. SPIE 3753, pp. 266-277, 1999.
    • (1999) Proc. SPIE , vol.3753 , pp. 266-277
    • Winter, M.E.1
  • 7
    • 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 Geo. and Remote Sensing, vol. 39, pp. 529-545, March 2001.
    • (2001) IEEE Trans. on Geo. and Remote Sensing , vol.39 , pp. 529-545
    • Heinz, D.1    Chang, C.-I.2
  • 8
    • 1642290713 scopus 로고    scopus 로고
    • Automatic spectral target recognition in hyperspectral imagery
    • October
    • H. Ren amd C.-I Chang, "Automatic spectral target recognition in hyperspectral imagery," IEEE Trans. on Aerospace and Electronic Systems, vol. 39, no. 4, pp. 1232-1249, October 2003.
    • (2003) IEEE Trans. on Aerospace and Electronic Systems , vol.39 , Issue.4 , pp. 1232-1249
    • Ren, H.1    Chang, C.-I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.