[1] Phil Clare, Mak Bernhardt, William Oxford et al.. A new approach to anomaly detection in hyperspectral images[C]. Proc. SPIE, 2003, 5093: 17～28

[2] D. Manolakis, D. Marden, J. Kerekes et al.. On the statistics of hyperspectral imaging data[C]. Proc. SPIE, 2001, 4381: 308～316

[3] B. A. Bastami, H. Amindavar. A new method for detectability of signals in K-distributed clutter[J]. IEEE, Signal Processing and Its Applications, 2003, 1(1～4): 345～348

[4] M. Bernhardt, W. J. Oxford, P. E. Clare et al.. Statistical detection algorithms in fat-tailed hyperspectral background clutter[C]. Proc. SPIE, 2004, 5573: 215～225

[5] Huang Yinbo, Wang Yingjian. The effect of tracking jitter on the beam spreading induced by atmospheric turbulence[J]. Acta Optica Sinica, 2005, 25(2): 152～156 (in Chinese)
黄印博,王英俭. 跟踪抖动对激光湍流大气传输光束扩展的影响[J]. 光学学报, 2005, 25(2): 152～156

[6] Sun Gang, Weng Ningquan, Xiao Liming et al.. Profile and character of atmospheric temperature[J]. Acta Optica Sinica, 2004, 24(5): 592～596 (in Chinese)
孙刚,翁宁泉,肖黎明 等. 大气温度分布特性及对折射率结构常数的影响[J]. 光学学报, 2004, 24(5): 592～596

[7] Jiaqi Wang, Ping Yu, Changxiang Yan et al.. Space optical remote sensor image motion velocity vector computational modeling, error budget and synthesis[J]. Chin. Opt. Lett., 2005, 3(7): 414～417

[8] Zhou Qingcai, Wang Zhijian, Wang Chunyan.The application of the theory about image stabilization in calculating image motion on space remote sensor[J]. Acta Optica Sinica, 2004, 24(3): 413～417 (in Chinese)
周庆才,王志坚,王春艳. 基于稳像理论的空间光学遥感像移补偿的分析与计算[J]. 光学学报, 2004, 24(3): 413～417

[9] . B. Chapple, D. C. Bertilone, R. S. Caprari et al.. Stochastic model-based processing for detection of small targets in non-Gaussian natural imagery[J]. IEEE Transactions on Image Processing, 2001, 10(4): 554-564.

[10] . Rellier, X. Descombes, F. Falzon et al.. Texture feature analysis using a Gauss-Markov model in hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(7): 1543-1551.

[11] . N. Tran, R. Wehrens, D. H. Hoekman et al.. Initialization of Markov random field clustering of large remote sensing images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(8): 1912-1919.

[12] . H. S. Solberg, T. Taxt, A. K. Jain. A Markov random field model for classification of multisource satellite imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 1996, 34(1): 100-113.

[13] . Geman, D. Geman. Stochastic relaxation, Gibbs distribution, and bayesian restoration of images[J]. IEEE Transactions Pattern Analysis Machine. Intelligence, 1984, 6(6): 721-741.

[14] . W. J. Stein, S. G. Beaven, L. E. Hoff et al.. Anomaly detection from hyperspectral imageryp[J]. IEEE Signal Process. Mag., 2002, 19(1): 58-69.

[15] . Nasrabadi. Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery[J]. IEEE Transactions Geosci. Remote Sensing, 2005, 43(2): 388-397.