[2] Kohei Arai, Huahui Chen. Unmixing method for hyperspectral data based on sub-space method with learning process[J]. Advances in Space Research, 2009, 44:517—523.

[3] Heslop D, Dobeneckvon T, Hcker M. Using non-negative matrix factorization in the “unmixing” of diffuse reflectance spectra[J]. Marine Geology, 2007, 241:63—78.

[4] Lifan Liu, Bin Wang, Liming Zhang. Decompositon of mixed pixels based on Bayesian self-organizing map and Gaussian mixture model[J]. Pattern Recognition Letters, 2009, 30:820—826.

[7] Cheng-hai Yang, James H Everitt, Joe M Bradford. Airborne hyperspectral imagery and linear spectral unmixing for mapping variation in corp yield[J]. Precision Agric, 2007, 8:279—296.

[8] Enner Alc ntara, Cl udio Barbosa, José Stech. Improving the spectral unmxing algorithm to map water turbidity distributions[J]. Environmental Modelling & Software, 2009, 24:1051—1061.

[9] Ben Somers, Kenneth Cools, Stephanie Delalieux, et al. Nonlinear Hyperspectral mixture analysis for tree cover estimates in orchards[J].Remote Sensing of Environment, 2009, 113:1183—1193.

[10] Dagrun Vikhamara, Rune Solberg. Snow-cover mapping in forests by constrained linear spectral unmixing of MODIS data[J].Remote Sensing of Environment, 2003, 88:309—323.