Opto-Electronic Engineering, Volume. 36, Issue 9, 29(2009)

Infrared Point Target Detection Based on Kernel Least Squares Algorithm

ZHU Bin1...2,*, FAN Xiang1,2,3, MA Dong-hui1,2, and CHENG Zheng-dong12 |Show fewer author(s)
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    References(9)

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    [4] [4] Jie Wang,Haiping Lu,Plataniotis K N,et al. Gaussian kernel optimization for pattern classification [J]. Pattern Recognition(S0031-3203),2009,42(7):1237-1247.

    [5] [5] Vapnik V N. The Nature of Statistical Learning Theory [M]. New York:Springer,1995.

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    [8] [8] ZHU Bin,FAN Xiang,MA Dong-Hui,et al. An improved algorithm of Infrared weak and small targets detection based on self-adaptive background prediction [J]. Laser & Infrared,2007,37(7):683-686.

    [9] [9] ZHU Bin,FAN Xiang,MA Dong-Hui,et al. Infrared point target detection based on exponentially weighted RLS algorithm and dual solution improvement [C]. Proc. of the SPIE (S0277-786X),2009,7383:73830W

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    ZHU Bin, FAN Xiang, MA Dong-hui, CHENG Zheng-dong. Infrared Point Target Detection Based on Kernel Least Squares Algorithm[J]. Opto-Electronic Engineering, 2009, 36(9): 29

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    Paper Information

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    Received: Mar. 19, 2009

    Accepted: --

    Published Online: Jan. 31, 2010

    The Author Email: Bin ZHU (zhubin0201@163.com)

    DOI:10.3969/j.issn.1003-501x.2009.09.006

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