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Volumn 2013-June, Issue , 2013, Pages

Spectral unmixing using the beta compositional model

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; INDEPENDENT COMPONENT ANALYSIS; SPECTROSCOPY;

EID: 85038570795     PISSN: 21586276     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2013.8080654     Document Type: Conference Paper
Times cited : (6)

References (12)
  • 3
    • 0033890553 scopus 로고    scopus 로고
    • Endmember bundles: A new approach to incorporating endmember variability into spectral mixture analysis
    • mar
    • C. A. Bateson, G. P. Asner, and C. A. Wessman, "Endmember bundles: a new approach to incorporating endmember variability into spectral mixture analysis, " Geoscience and Remote Sensing, IEEE Transactions on, vol. 38, no. 2, pp. 1083-1094, mar 2000.
    • (2000) Geoscience and Remote Sensing, IEEE Transactions on , vol.38 , Issue.2 , pp. 1083-1094
    • Bateson, C.A.1    Asner, G.P.2    Wessman, C.A.3
  • 5
    • 79954622955 scopus 로고    scopus 로고
    • Endmember variability in spectral mixture analysis: A review
    • B. Somers, G. P. Asner, L. Tits, and P. Coppin, "Endmember variability in spectral mixture analysis: A review, " Remote Sensing of Environment, vol. 115, no. 7, pp. 1603-1616, 2011.
    • (2011) Remote Sensing of Environment , vol.115 , Issue.7 , pp. 1603-1616
    • Somers, B.1    Asner, G.P.2    Tits, L.3    Coppin, P.4
  • 6
    • 0034307119 scopus 로고    scopus 로고
    • A biogeophysical approach for automated swir unmixing of soils and vegetation
    • G. P. Asner and D. B. Lobell, "A biogeophysical approach for automated swir unmixing of soils and vegetation, " Remote Sensing of Environment, vol. 74, pp. 99-112, 2000.
    • (2000) Remote Sensing of Environment , vol.74 , pp. 99-112
    • Asner, G.P.1    Lobell, D.B.2
  • 7
    • 2942522160 scopus 로고    scopus 로고
    • Multiple endmember spectral mixture analysis using endmember average rsme
    • P. E. Dennison and D. A. Roberts, "Multiple endmember spectral mixture analysis using endmember average rsme, " Remote Sensing of Environment, vol. 87, no. 2-3, pp. 123-135, 2003.
    • (2003) Remote Sensing of Environment , vol.87 , Issue.2-3 , pp. 123-135
    • Dennison, P.E.1    Roberts, D.A.2
  • 8
    • 77952616442 scopus 로고    scopus 로고
    • Bayesian estimation of linear mixtures using the normal compositional model: Application to hyperspectral imagery
    • June
    • O. Eches, N. Dobigeon, C. Mailhes, and J.-Y. Tourneret, "Bayesian estimation of linear mixtures using the normal compositional model: Application to hyperspectral imagery, " IEEE Transactions on Image Processing, vol. 19, no. 6, pp. 1403-1413, June 2010.
    • (2010) IEEE Transactions on Image Processing , vol.19 , Issue.6 , pp. 1403-1413
    • Eches, O.1    Dobigeon, N.2    Mailhes, C.3    Tourneret, J.-Y.4
  • 10
    • 0000610559 scopus 로고    scopus 로고
    • Distribution of the linear combination of two general beta variables and applications
    • T. Pham-Gia and N. Turkkan, "Distribution of the linear combination of two general beta variables and applications, " Communications in Statistics-Theory and Methods, vol. 27, no. 7, pp. 1851-1869, 1998.
    • (1998) Communications in Statistics-Theory and Methods , vol.27 , Issue.7 , pp. 1851-1869
    • Pham-Gia, T.1    Turkkan, N.2
  • 12
    • 32344446687 scopus 로고
    • Understanding the metropolishastings algorithm
    • april
    • Chib S. and Greenberg E., "Understanding the metropolishastings algorithm, " The American Statistician, vol. 49, no. 4, pp. 327-335, april 1995.
    • (1995) The American Statistician , vol.49 , Issue.4 , pp. 327-335
    • Chib, S.1    Greenberg, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.