Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0210018(2022)

Aerial Target Classification Algorithm Based on Double-Layer Feature Selection

Zhigang Su1,2、* and Xuemeng Wang1
Author Affiliations
  • 1College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China
  • 2Sino-European Institute of Aviation Engineering, Civil Aviation University of China, Tianjin 300300, China
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    References(22)

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    [6] Chen W S, Liu J, Chen X L et al. Non-cooperative UAV target recognition in low-altitude airspace based on motion model[J]. Journal of Beijing University of Aeronautics and Astronautics, 45, 687-694(2019).

    [8] Chen W S, Huang Y F, Chen X L et al. Review on developments and applications of airport avian radar[J]. Acta Aeronautica et Astronautica Sinica, 42, 1-22(2021).

    [9] Cai X Y, Sun J F, Lu Z Y et al. Distortion compensation technology of coherent frequency modulation continuous wave lidar[J]. Chinese Journal of Lasers, 47, 0910003(2020).

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    [14] Zhang H, Zuo X L, Huang Y. Feature selection based on the correlation of sparse coefficient vectors with application to SAR target recognition[J]. Laser & Optoelectronics Progress, 57, 141029(2020).

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    Zhigang Su, Xuemeng Wang. Aerial Target Classification Algorithm Based on Double-Layer Feature Selection[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0210018

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    Paper Information

    Category: Image Processing

    Received: Jan. 12, 2021

    Accepted: Mar. 16, 2021

    Published Online: Dec. 23, 2021

    The Author Email: Su Zhigang (ssrsu@vip.sina.com)

    DOI:10.3788/LOP202259.0210018

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