Synthetic Aperture Radar Target Recognition Based on Incremental Learning Algorithm

GUO Chen-long; QIU Zhen-an; SUN Rui-bin

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

Journals >Electronics Optics & Control >Volume 26 >Issue 1 >Page 31 > Article

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

Synthetic Aperture Radar Target Recognition Based on Incremental Learning Algorithm

GUO Chen-long^1、2, QIU Zhen-an³, and SUN Rui-bin⁴

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

⁴[in Chinese]

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

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 Copy Citation Text

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References

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

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

[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.

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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