[1] [1] MATTEOLI S, DIANI M, CORSINI G. A tutorial overview of anomaly detection in hyperspectral images［J］. IEEE A&E Systems Magazine, 2010, 25(7): 5-27.

[2] [2] ZHAO Chun-hui, HU Chun-mei, BAO Yu-gang. A kind of anomaly detection algorithm for hyperspectral image through background error cumulation［J］. Acta Photonica Sinica, 2010, 39(10): 1830-1835.

[3] [3] MEI Feng, ZHAO Chun-hui, WANG Li-guo, YOU Jia. Support vector data description based on adaptive anomaly detection method in hyperspectral imagery［J］. Acta Photonica Sinica, 2009, 38(11): 2820-2825.

[4] [4] REED I S, YU X. Adaptive multi-band CFAR detection of an optical pattern with unknown spectral distribution［J］. IEEE Transactions on Acoustics Speech and Signal Processing, 1990, 38(3): 1760-1770.

[5] [5] CHIANG S S, CHANG C I, GINSBERG I W. Unsupervised target detection in hyperspectral images using projection pursuit［J］. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(7): 1380-1391.

[6] [6] ZHANG Bing, CHEN Zheng-chao, ZHENG Fen-lan. Object detection based on feature extraction from hyperspectral imagery and convex cone projection transform［J］. Journal of Infrared Millimeter and Terahertz Waves, 2004, 33(8): 952-955.

[7] [7] CHANG C I. Orthogonal subspace projection (OSP) revisited: a comprehensive study and analysis［J］. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(3): 502-518.

[8] [8] ZHAO Chun-hui, HU Chun-mei. Weighted anomaly detection algorithm for hyperspectral imagebased on target orthogonal subspace projection［J］. Journal of Jilin University (Engineering and Technology Edition), 2011, 41(5): 1468-1474.

[9] [9] YIN Ji-hao, WANG Yan, WANG Yi-song. A revised multi-target detection approach in hyperspectral image［J］. Acta Electronica Sinica, 2010, 38(9): 1975-1978.

[10] [10] KHAZAI S, HOMAYOUNI S, SAFARI A, et al. Anomaly detection in hyperspectral images based on an adaptive support vector method［J］. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4): 646-650.

[11] [11] CHENG Bao-zhi, ZHAO Chun-hui, WANG Yu-lei. SVDD algorithm with spectral unmixing for anomaly detection in hyperspectral images［J］. Journal of Applied Sciences-Electronics and Information Engineering, 2012, 30(1): 82-88.

[12] [12] YANG Zhi-hai, ZHOU Yu-yan, ZHU Yan, et al. Improved EM algorithm for hyperspectral classification［J］. Journal of Zhengzhou Institute of Surveying and Mapping, 2006, 23(1): 36-40.

[13] [13] ZHAO Chun-hui, HU Chun-mei, 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.

[14] [14] WEN Jia, MA Cai-wen, SHUI Peng-lang. An adaptive VQ algorithm used in interferential multi spectral image［J］. Spectroscopy and Spectral Analysis, 2011, 31(4): 1033-1037.