|
[1]
|
MATTEOLI S, DIANI M, CORSINI G. A tutorial overview of anomaly detection in hyperspectral images [J]. IEEE Transactions on Aerospace and Electronic Systems Magazine, 2010, 25(7): 5-28. |
|
[2]
|
ECHES O, DOBIGEON N, TOURNERET J Y. Enhancing hyperspectral image unmixing with spatial correlations [J]. IEEE Transactions on Geosciences and Remote Sensing, 2011, 49(11): 4239-4247. |
|
[3]
|
KWON H, DER S Z, NASRABADI N M. Adaptive anomaly detection using subspace separation for hyperspectral imagery [J]. Optical Engineering, 2003, 42(11): 3342-3351. |
|
[4]
|
REED I S, YU X L. 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. |
|
[5]
|
KWON H, NASRABADI N M. Kernel RX algorithm a nonlinear anomaly detector for hyperspectral imagery[J]. IEEE Transactions on Geosciences and Remote Sensing, 2005, 43(2): 388-397. |
|
[6]
|
WANG L P, ZHANG L P, HAN J T. Detecting algorithm of moving target in dynamic background based on gray-weighted kernel function [J]. Infrared and Laser Engineering, 2013, 42(12): 3453-3457 (in Chinese). |
|
[7]
|
CHEN D R, SUN B, TAO P, et al. Spatial neighboring clustering method for hyperspectral imagery based on kernel spectral angel cosine [J]. Acta Electronica Sinica, 2008, 36(10): 1992-1995(in Chinese). |
|
[8]
|
HAN J, YUE J, ZHANG Y, et al. SAM weighted KEST algorithm for anomaly detection in hyperspectral imagery [J]. Journal of Infrared and Millimeter Waves, 2013, 32(4): 359-365(in Chinese). |
|
[9]
|
WANG S B. Study on anomaly target detection technology in hyperspectral images [D]. Haerbin: Harbin Institute of Technology, 2010: 22-35(in Chinese). |
|
[10]
|
WU X M. The research on hyperspectral imagery unmixing technology based on kernel methods [D]. Hangzhou:Zhejiang University, 2011: 15-33(in Chinese). |
|
[11]
|
WANG Ch. Research on multiple kernel learning based target interpretation technologies in hyperspectral imagery [D].Haerbin: Harbin Institute of Technology, 2011: 13-23(in Chinese). |
|
[12]
|
GAN P P, WANG R Sh. Spectral remote sensing recognition basis and technology research [J]. Remote Sensing Technology and Application, 2002, 17(3): 53-60(in Chinese). |
|
[13]
|
SHAWE-TAYLOR J, CRISTIANINI N. Pattern recognition of kernel method [M]. 2nd ed. Beijing: China Machine Press, 2006: 29-50(in Chinese). |
|
[14]
|
DANG J W, WANG Y P, DI F W, et al. Artificial intelligence [M]. Beijing: Electronic Industry Press, 2012: 178-180(in Chinese). |
|
[15]
|
EBERHART R, KENNEDY J. A new optimizer using particle swarm theory[C]//Proceedings of the 6th International Symposium on Micro Machine and Human Science. New York, USA : IEEE , 1995: 39-43. |
|
[16]
|
GAO X J. On classification of hyperspectral remotely sensed imagery based on support vector machines[D]. Hangzhou: Hangzhou Dianzi University, 2012: 42-44 (in Chinese) . |
|
[17]
|
LIANG Zh J, WANG K F, GU G Q, et al . Digital speckle image correlation method base on particle swarm optimization algorithm[J]. Laser Technology, 2014, 38(5): 603-607 (in Chinese). |
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