Electronics Optics & Control, Volume. 26, Issue 1, 31(2019)

Synthetic Aperture Radar Target Recognition Based on Incremental Learning Algorithm

GUO Chen-long1...2, QIU Zhen-an3 and SUN Rui-bin4 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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  • 4[in Chinese]
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    References(4)

    [6] [6] LIANG N Y, HUANG G B, SARATCHANDRAN P, et al.A fast and accurate online sequential learning algorithm for feed forward networks[J].IEEE Transactions on Networks, 2006, 17(6):1411-1423.

    [7] [7] HUANG G B, ZHU Q Y, SIEW C K.Extreme learning machine:theory and applications[J].Neurocomputing, 2006, 70(1-3):489-501.

    [9] [9] ZONG W W, HUANG G B.Face recognition based on extreme learning machine[J].Neurocomputing, 2011, 74(16):2541-2551.

    [11] [11] BUADES A, COLL B, MOREL J M.A non-local algorithm for image denoising[C]//CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2005:60-65.

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    GUO Chen-long, QIU Zhen-an, SUN Rui-bin. Synthetic Aperture Radar Target Recognition Based on Incremental Learning Algorithm[J]. Electronics Optics & Control, 2019, 26(1): 31

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    Paper Information

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    Received: Feb. 1, 2018

    Accepted: --

    Published Online: Jan. 19, 2019

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2019.01.007

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