메뉴 건너뛰기




Volumn , Issue , 2010, Pages

A generalized kernel for areal and intimate mixtures

Author keywords

Abundance estimation; Areal mixtures; Intimate mixtures; Kernel functions

Indexed keywords

ABUNDANCE ESTIMATION; AREAL MIXTURES; DATA-DRIVEN; HYPERSPECTRAL DATA; INTIMATE MIXTURES; KERNEL FUNCTION; KERNEL METHODS; LINEAR MIXING MODELS; LINEAR MIXTURES; NEW PHYSICS; REAL-WORLD; UNMIXING;

EID: 78649278292     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2010.5594962     Document Type: Conference Paper
Times cited : (29)

References (15)
  • 1
    • 53849126897 scopus 로고    scopus 로고
    • Investigation of nonlinearity in hyperspectral imagery using surrogate data methods
    • Oct.
    • T. Han and D. G. Goodenough, "Investigation of nonlinearity in hyperspectral imagery using surrogate data methods," IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 10, pp. 2840-2847, Oct. 2008.
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.10 , pp. 2840-2847
    • Han, T.1    Goodenough, D.G.2
  • 2
    • 0035273728 scopus 로고    scopus 로고
    • Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery
    • Mar.
    • D. C. Heinz and C.-I Chang, "Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 39, no. 3, pp. 529-545, Mar. 2001.
    • (2001) IEEE Transactions on Geoscience and Remote Sensing , vol.39 , Issue.3 , pp. 529-545
    • Heinz, D.C.1    Chang, C.-I.2
  • 3
    • 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," in Proc. of SPIE, vol. 3753, 1999, pp. 266-275.
    • (1999) Proc. of SPIE , vol.3753 , pp. 266-275
    • Winter, M.E.1
  • 4
    • 0035481565 scopus 로고    scopus 로고
    • A quantitative and comparative analysis of linear and nonlinear spectral mixture models using radial basis function neural networks
    • Aug.
    • K. J. Guilfoyle, M. L. Althouse, and C.-I Chang, "A quantitative and comparative analysis of linear and nonlinear spectral mixture models using radial basis function neural networks," IEEE Transactions on Geoscience and Remote Sensing, vol. 39, no. 8, pp. 2314-2318, Aug. 2001.
    • (2001) IEEE Transactions on Geoscience and Remote Sensing , vol.39 , Issue.8 , pp. 2314-2318
    • Guilfoyle, K.J.1    Althouse, M.L.2    Chang, C.-I.3
  • 11
    • 0024940581 scopus 로고
    • Photometric phase functions of common geologic minerals and applications to quantitative analysis of mineral mixture reflectance spectra
    • Oct.
    • J. F. Mustard and C. M. Pieters, "Photometric phase functions of common geologic minerals and applications to quantitative analysis of mineral mixture reflectance spectra," Journal of Geophysical Research, vol. 94, pp. 13619-13634, Oct. 1989.
    • (1989) Journal of Geophysical Research , vol.94 , pp. 13619-13634
    • Mustard, J.F.1    Pieters, C.M.2
  • 12
    • 0027338792 scopus 로고
    • Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS data
    • D. A. Roberts, M. O. Smith, and J. B. Adams, "Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS data," Remote Sensing of Environment, vol. 44, pp. 255-269, 1993.
    • (1993) Remote Sensing of Environment , vol.44 , pp. 255-269
    • Roberts, D.A.1    Smith, M.O.2    Adams, J.B.3
  • 13
    • 0019584940 scopus 로고
    • An algorithm for linear least squares problems with equality and nonnegativity constraints generalized
    • K. H. Haskell and R. J. Hansen, "An algorithm for linear least squares problems with equality and nonnegativity constraints generalized," Math. Prog., vol. 21, pp. 98-118, 1981.
    • (1981) Math. Prog. , vol.21 , pp. 98-118
    • Haskell, K.H.1    Hansen, R.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.