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Volumn 5, Issue , 2004, Pages 3219-3221

Optimal linear unmixing for hyperspectral image analysis

Author keywords

Abundance Estimation; Hyperspectral Image; Linear Unmixing

Indexed keywords

COMPUTER SIMULATION; DATA ACQUISITION; ERROR ANALYSIS; ESTIMATION; IMAGING TECHNIQUES; LEAST SQUARES APPROXIMATIONS; LIGHT REFLECTION; LINEAR SYSTEMS; MATHEMATICAL MODELS; OPTIMAL CONTROL SYSTEMS; PROBLEM SOLVING; QUADRATIC PROGRAMMING; REMOTE SENSING; VECTORS;

EID: 15944406786     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (9)
  • 1
    • 0001395470 scopus 로고
    • Spectral mixture modeling: A new analysis of rock and soil types at the Viking lander 1 suite
    • J. B. Adams and M. O. Smith, "Spectral mixture modeling: a new analysis of rock and soil types at the Viking lander 1 suite," J. Geophysical Res., vol. 91, pp. 8098-8112, 1986.
    • (1986) J. Geophysical Res. , vol.91 , pp. 8098-8112
    • Adams, J.B.1    Smith, M.O.2
  • 2
    • 0024818882 scopus 로고
    • Inversion of imaging spectrometry data using singular value decomposition
    • J. W. Boardman, "Inversion of imaging spectrometry data using singular value decomposition," Proc. IEEE Sym. Geoscience and Remote Sensing, pp. 2069-2072, 1989.
    • (1989) Proc. IEEE Sym. Geoscience and Remote Sensing , pp. 2069-2072
    • Boardman, J.W.1
  • 4
    • 0024895551 scopus 로고
    • Quantitative determination of imaging spectrometer specifications based on spectral mixing models
    • A. F. H. Goetz and J. W. Boardman, "Quantitative determination of imaging spectrometer specifications based on spectral mixing models," Proc. IGARSS'89, pp. 1036-1039, 1989.
    • (1989) Proc. IGARSS'89 , pp. 1036-1039
    • Goetz, A.F.H.1    Boardman, J.W.2
  • 5
    • 0001136320 scopus 로고
    • The simplex method for quadratic programming
    • P. Wolfe, The simplex method for quadratic programming, Econometrica, vol.27, no.3, pp.382-398, 1959.
    • (1959) Econometrica , vol.27 , Issue.3 , pp. 382-398
    • Wolfe, P.1
  • 9
    • 0035273728 scopus 로고    scopus 로고
    • Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery
    • 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, 2001.
    • (2001) IEEE Trans. on Geoscience and Remote Sensing , vol.39 , Issue.3 , pp. 529-545
    • Heinz, D.1    Chang, C.-I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.