[1] [1] Zhang Rongxiang, Zheng Shijie, Xia Yanjun et al.. Application of support vector regression for reconstruction of non-uniform strain profile along the fiber grating[J]. Acta Optica Sinica, 2008, 28(8): 1513-1517

[2] [2] M. Brown, H. G. Lewis, S. Gunn. Linear spectral mixture models and support vector machines for remote sensing[J]. IEEE Trans. on Geoscience and Remote Sensing, 2000, 38(9): 2346-2360

[3] [3] G. Camps-Valls, L. Gomez-Chova, J. Calpe-Maravilla et al.. Robust support vector method for hyperspectral data classification and knowledge discovery[J]. IEEE Trans. on Geoscience and Remote Sensing, 2004, 42(7): 1530-1542

[4] [4] Wang Qiang, Shen Yi, Zhang Jianqiu. A nonlinear correlation measure for multivariable data set[J]. Physica D: Nonlinear Phenomena, 2005, 200(3-4): 287-295

[5] [5] B. Guo, S. R. Gunn, R. I. Damper et al.. Hyperspectral image fusion using spectrally weighted kernels[C]. Proc. Int. Conf. on Information Fusion, 2005, 1: 402-408

[6] [6] B. Guo, S. R. Gunn, R. I. Damper et al.. Customizing kernel functions for SVM-based hyperspectral image classification[J]. IEEE Trans. on Image Processing, 2008, 17(4): 622-629

[7] [7] H. Kwon, N. M. Nasrabadi. Kernel spectral matched filter for hyperspectral imagery[J]. International Journal of Computer Vision, 2007, 71(2): 127-141

[8] [8] Luo Qin, Tian Zheng, Zhao Zhixiang. Shrinkage-divergence-proximity locally linear embedding algorithm for dimensionality reduction of hyperspectral image[J]. Chin. Opt. Lett., 2008, 6(8): 558-560

[9] [9] Hou Ying, Liu Guizhong. Three-dimensional set partitioned embedded zero block coding alogrithm for hyperspectral image compression[J]. Acta Optica Sinica, 2008, 28(1): 67-73

[10] [10] V. N. Vapnik. An overview of statistical learning theory[J]. IEEE Trans. on Neural Networks, 1999, 10(5): 988-999

[11] [11] Jin Jing, Wang Qiang, Shen Yi. Registering multiple medical images using the shared chain mutual information[J]. Chin. Opt. Lett., 2007, 5(7): 389-392

[12] [12] Wang Qiang, Shen Yi. Performances evaluation of image fusion techniques based on nonlinear correlation measurement[J]. Proc. IEEE Instrumentation and Measurement Technology Conf., 2004, 1: 472-475

[13] [13] B. Guo, S. R. Gunn, R. I. Damper et al.. Band selection for hyperspectral image classification using mutual information[J]. IEEE Geoscience and Remote Sensing Letter, 2006, 3(4): 522-526

[14] [14] F. Melgani, L. Bruzzone. Classification of hyperspectral remote sensing images with support vector machines[J]. IEEE Trans. on Geoscience and Remote Sensing, 2004, 42(8): 1778-1790

[15] [15] Landgrebe D. Hyperspectral image data analysis[J]. IEEE Signal Process Magazine, 2002, 19(1): 17-28