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

[2] [2] Zhang Xiang, Zhang Jianqi, Jin Wei, et al. Method for removing sun glint from hyperspectral image［J］. Acta Optica Sinica, 2008, 28(4): 664-668.

[3] [3] Vaiphasa C. Consideration of smoothing techniques for hyperspectral remote sensing［J］. ISPRS Journal of Photogrammetry & Remote Sensing, 2006, 60(2): 91-99.

[4] [4] Yang Zhe, Wang Yutian, Pan Zhao. Fluorescence spectrum denoising method for low concentration petroleum pollutants based on EMD-LWT［J］. Acta Optica Sinica, 2016, 36(5): 0530001.

[5] [5] Chen Cong, Lu Qipeng, Peng Zhongqi. Preprocessing methods of near-infrared spectrum based on NLMS adaptive filtering［J］. Acta Optica Sinica, 2012, 32(5): 0530001.

[6] [6] Atkinson I, Kamalabadi F, Jones D L. Wavelet-based hyperspectral image estimation［C］. IEEE International Geoscience and Remote Sensing Symposium, 2003: 743-745.

[7] [7] Chen G, Bui T D, Krzyzak A. Denoising of three-dimensional data cube using bivariate wavelet shrinking［J］. International Journal of Pattern Recognition & Artificial Intelligence, 2011, 25(3): 403-413.

[8] [8] Huo Leigang, Feng Xiangchu. Denoising of hyperspectral remote sensing image based on principal component analysis and dictionary learning［J］. Journal of Electronics & Information Technology, 2014, 36(11): 2723-2729.

[9] [9] Wang Haoran, Xia Kewen, Ren Miaomiao. Adaptive denoising method of hyperspetral remote sensing image based on PCA and dictionary learning［J］. Journal of Computer Applications, 2016, 36(12): 3411-3417.

[10] [10] Othman H, Qian S E. Noise reduction of hyperspectral imagery using hybrid spatial-spectral derivative-domain wavelet shrinkage［J］. IEEE Transactions on Geoscience & Remote Sensing, 2006, 44(2): 397-408.

[11] [11] Xu Dong, Sun Lei, Luo Jianshu. Denoising of hyperspectral remote sensing imagery using NAPCA and complex wavelet transform［J］. Infrared and Laser Engineering, 2015, 44(1): 327-334.

[12] [12] Elad M. Sparse and redundant representations: from theory to applications in signal and image processing［M］. Springer Publishing Company, 2010.

[13] [13] Pati Y C, Rezaiifar R, Krishnaprasad P S. Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition［C］. Circuits, Systems and Computers, 1993, 1: 40-44.

[14] [14] Chen Y, Nasrabadi N M, Tran T D. Simultaneous joint sparsity model for target detection in hyperspectral imagery［J］. IEEE Geoscience & Remote Sensing Letters, 2011, 8(4): 676-680.

[15] [15] Zhang Y, Du B, Zhang L. A sparse representation-based binary hypothesis model for target detection in hyperspectral images［J］. IEEE Transactions on Geoscience & Remote Sensing, 2015, 53(3): 1346-1354.

[16] [16] Choi M G, Jung J H, Jeon J W. No-reference image quality assessment using blur and noise［J］. International Journal of Electrical & Electronics Engineering, 2009: 163-167.

[17] [17] Liu X, Bourennane S, Fossati C. Nonwhite noise reduction in hyperspectral images［J］. IEEE Geoscience & Remote Sensing Letters, 2012, 9(3): 368-372.

[18] [18] Gao B C. An operational method for estimating signal to noise ratios from data acquired with imaging spectrometers［J］. Remote Sensing of Environment, 1993, 43(1): 23-33.

[19] [19] Gao Lianru, Zhang Bing, Zhang Xia, et al. Study on the method for estimating the noise in remote sensing images based on local standard deviations［J］. Journal of Remote Sensing, 2007, 11(2): 201-208.

[20] [20] Hu Guangshu. Digital signal processing: theory, algorithm and implementation［M］. Beijing: Tsinghua University Press, 2012.

[21] [21] Feig E, Linzer E. The multiplicative complexity of discrete cosine transforms［J］. Advances in Applied Mathematics, 1992, 13(4): 494-503.

[22] [22] Gao L, Du Q, Zhang B, et al. A comparative study on linear regression-based noise estimation for hyperspectral imagery［J］. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2013, 6(2): 488-498.

[23] [23] Jiang Qingsong, Wang Jianyu. Study on signal-to-noise ratio estimation and compression method of operational modular imaging spectrometer multi-spectral images［J］. Acta Optica Sinica, 2003, 23(11): 1335-1340.