[1] [1] Zhang Bing. Advancement of hyperspectral image processing and information extraction［J］. Journal of Remote Sensing, 2016, 20(5): 1062-1090.

[2] [2] Qin Fangpu, Zhang Aiwu, Wang Shumin, et al. Hyperspectral band selection based on spectral clustering and inter-class separability factor［J］. Spectroscopy and Spectral Analysis, 2015, 35(5): 1357-1364.

[3] [3] Liu Chunhong, Zhao Chunhui, Zhang Lingyan. A new method of hyperspectral remote sensing image dimensional reduction［J］. Journal of Image and Graphics, 2005, 10(2): 218-222.

[4] [4] Liu Xuesong, Ge Liang, Wang Bin, et al. An unsupervised band selection algorithm for hyperspectral imagery based on maximal information［J］. Journal of Infrared and Millimeter Waves, 2012, 31(2): 166-176.

[5] [5] Ding Sheng, Yuan Xiuxiao, Chen Li. Automatic band selection of hyperspectral remote sensing image classification using particle swarm optimization［J］. Acta Geodaetica et Cartographica Sinica, 2010, 39(3): 257-263.

[6] [6] Wang Liguo, Wei Fangjie. Band selection for hyperspectral imagery based on combination of genetic algorithm and ant colony algorithm［J］. Journal of Image and Graphics, 2013, 18(2): 235-242.

[7] [7] Zhao Xuanmin, Xu Wei, Shi Yimin, et al. Mathematical statistics［M］. Beijing: Science Press, 2003.

[8] [8] Guo Lei, Chang Weiwei, Fu Chaoyang. Band selection of optimal for hyperspectral image fusion［J］. Journal of Astronautics, 2011, 32(2): 374-379.

[9] [9] Zhao Chunhui, Hu Chunmei, Shi Hong. Anomaly detection for a hyperspectral image by using a selective section principal component analysis algorithm［J］. Journal of Harbin Engineering University, 2011, 32(1): 109-113.

[10] [10] Kang X D, Li S T, Benediktsson J A. Feature extraction of hyperspectral images with image fusion and recursive filtering［J］. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(6): 3742-3752.

[11] [11] Khazai S, Safari A, Mojaradi B, et al. An approach for subpixel anomaly detection in hyperspectral images［J］. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(2): 769-778.

[12] [12] Gu Y, Zhang L. Rare signal component extraction based on kernel methods for anomaly detection in hyperspectral imagery［J］. Neurocomputing, 2013, 108: 103-110.

[13] [13] Grossmann A, Morlet J. Decomposition of hardy functions into square integrable wavelets of constant shape［J］. SIAM Journal on Mathematical Analysis, 1984, 15(4): 723-736.