[1] [1] Feng Weiyi, Chen Qian, He Weiji, et al.. A defogging method based on hyperspectral unmixing[J]. Acta Optica Sinica, 2015, 35(1): 0110002.

[2] [2] Liu Jin, Si Fuqi, Zhou Haijin, et al.. Estimation of sulfur dioxide emission from power plant using imaging differential optical absorption spectroscopy technique[J]. Acta Optica Sinica, 2015, 35(6): 0630003.

[3] [3] Zhang Mingxuan, Gao Jiaobo, Meng Hemin, et al.. Zoom-FFT based on Fourier transform spectroscopy[J]. Journal of Applied Optics, 2013, 34(3): 452-456.

[4] [4] Li Yu, Gao Jiaobo, Meng Hemin, et al.. Fast inversion techniques of inteferogram imaging spectrum based on CUDA[J]. Journal of Applied Optics, 2014, 35(3): 414-419.

[5] [5] Reed I S, Yu X. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution[J]. IEEE Transactions on Acoustics, Speech and Signal Processing, 1990, 38(10): 1760-1770.

[6] [6] Yu X, Hoff L E, Reed I S, et al.. Automatic target detection and recognition in multiband imagery: A unified ML detection and estimation approach[J]. IEEE Transactions on Image Processing, 1997, 6(1): 143-156.

[7] [7] Wang Yulei, Zhao Chunhui, Wang Jianghong. Anomaly detection based on low probability detection for hyperspectral image[J]. Journal of Natural Science of Heilongjiang University, 2010, 27(3): 411-416.

[8] [8] Chang C, Chiang S. Anomaly detection and classification for hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(6): 1314-1325.

[9] [9] Zhou R, Ye M, Chen H. Apple bruise detect with hyperspectral imaging technique[J]. Chinese Optics Letters, 2014, 12(sl): s11101.

[10] [10] Cui Fangxiao, Fang Yonghua. Adaptive detection for pollutant gases based on orthogonal subspace projection[J]. Acta Optica Sinica, 2014, 34(7): 0730002.

[11] [11] Wang Xiaofei, Zhang Junping, Yan Qiujing, et al.. Target detection for hyperspectral image based on support vector data description[J]. Chinese J Lasers, 2014, 41(s1): s114003.

[12] [12] He Yuanlei, Liu Daizhi, Yi Shihua, et al.. Anomaly detection for hyperspectral image based on independent component analysis[J]. Optical Technique, 2011, 37(2): 203-207.

[13] [13] Ren H, Chang C. Automatic spectral target recognition in hyperspectral imagery[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(4): 1232-1249.

[14] [14] Wang J, Chang C. Applications of independent component analysis in endmember extraction and abundance quantification for hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(9): 2601-2616.

[15] [15] Hyvrinen A, Karhunen J, Oja E. Independent Component Analysis[M]. New York: John Wiley & Sons, 2001.

[16] [16] Wang J, Chang C. Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis [J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(6): 1586-1600.

[17] [17] Chang C. Hyperspectral Data Processing Algorithm Design and Analysis[M]. New Jersey: John Wiley & Sons, 2013.

[18] [18] Chen J, Richard C, Honeine P. Nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model[J]. IEEE Transactions on Signal Processing, 2013, 61(2): 480-492.