[1] [1] N. Keshava. A survey of spectral unmixing algorithms[J]. Lincoln Laboratory J., 2003, 14(1): 55-78

[2] [2] C. Huang, J. R. G. Townshend. A stepwise regression tree for nonlinear approximation: applications to estimating subpixel land cover[J]. International J. Remote Sensing, 2003, 24(1): 75-90

[3] [3] J. J. Settle, N. A. Drake. Linear mixing and the estimation of ground cover proportions[J]. International J. Remote Sensing, 1993, 14(6): 1159-1177

[4] [4] Wu Bo, Zhang Liangpei, Li Pingxiang. Unmixing hyperspectral imagery based on support vector nonlinear approximating regression[J]. J. Remote Sensing, 2006, 3(5): 312-318

[5] [5] X. W. Li, A. H. Strahler. Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: effect of crown shape and mutual shadowing[J]. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(2): 276-292

[6] [6] Y. E. Shimabukuro, J. A. Smith. The least-squares mixing models to generate fraction images derived from remote sensing multispectral data [J]. IEEE Transactions on Geoscience and Remote Sensing, 1991, 29(1): 16-20

[7] [7] D. A. Roberts. Separating Spectral Mixtures of Vegetation and Soils[D]. University of Washington, 1991

[8] [8] F. Maselli. Multiclass spectral decomposition of remotely sensed scenes by selective pixel unmixing[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(5): 1809-1820

[9] [9] Cong Hao, Zhang Liangpei, Li Pingxiang. A method of selective endmember for pixel unmixing[J]. J. Image and Graphics, 2006, 11(8): 1092-1096

[10] [10] H. L. Zhu. Linear spectral unmixing assisted by probability guided and minimum residual exhaustive search for subpixel classification[J]. International J. Remote Sensing, 2005, 26(24): 5585-5601

[11] [11] D. M. Rogge, B. Rivard, Jinkai Zhang et al.. Iterative spectral unmixing for optimizing per-pixel endmember sets[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(12): 3725-3736

[12] [12] D. A. Roberts, M. Gardner, R. Chwch et al.. Mapping chaparral in the Santa Monica Mountains using multiple endmember spectral mixture models[J]. Remote Sensing of Environment, 1998, 65(3): 267-279

[13] [13] Jin Wei, Wei Biao. Correction algorithm for the geometric unsharpness of digital neutron radiation image[J]. Acta Optica Sinica, 2007, 27(10): 1765-1770

[14] [14] Zhang Jingjing, Fang Yonghua. Novel denoising method for remote sensing image based on contourlet transform[J]. Acta Optica Sinica, 2008, 28(3): 462-466

[15] [15] Chen Hua, Li Taoshen, Zhao Jinchuang. A method for image spectrum restoration property snalysis based on gaussian function[J]. Acta Optica Sinica, 2007, 27(3): 424-429

[16] [16] E. D. Kolaczyk. On the use of prior and posterior information in the subpixel proportion problem[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(11): 2687-2691

[17] [17] M. Schwarz, N. E. Zimmermann. A new GLM-based method for mapping tree cover continuous fields using regional MODIS reflectance data[J]. Remote Sensing of Environment, 2005, 95(4): 428-443

[18] [18] Wo Bo, Zhou Xiaocheng, Zhao Yindi. Study on the relationships between endmember variance and decomposition accuracy of mixture pixel[J]. Remote Sensing Information, 2007(3): 3-7