Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 11, 1511(2023)

Attributed scattering center matching based on deep belief network and application in target recognition of SAR images

Yan-long XU1, Hao PAN1、*, and Bai-yuan DING2
Author Affiliations
  • 1College of Information Engineering,Shenyang University of Chemical Technology,Shenyang 110142,China
  • 2PLA 96901 Troops,Beijing 100094,China
  • show less
    Figures & Tables(8)
    Illustration of parameter estimation of SAR targets
    Basic structure of DBN
    Images of the ten targets in the MSTAR dataset
    Recognition results of the proposed method under SOC
    Comparison of average recognition rates under noise corruption
    Comparison of average recognition rates under partial occlusion
    • Table 1. Experimental setup of SOC

      View table
      View in Article

      Table 1. Experimental setup of SOC

      目标类别BMP2BTR70T72T62BRDM2BTR60ZSU23/4D7ZIL1312S1
      模板(训练)集230230229296295253296296296296
      测试集584230579270281192271281281281
    • Table 2. Comparison of average recognition rates under SOC

      View table
      View in Article

      Table 2. Comparison of average recognition rates under SOC

      方法类型平均识别率/%
      本文方法99.42
      Hungarian匹配98.74
      多层次匹配98.92
      目标重构98.87
      BEMD99.04
      ResNet99.18
    Tools

    Get Citation

    Copy Citation Text

    Yan-long XU, Hao PAN, Bai-yuan DING. Attributed scattering center matching based on deep belief network and application in target recognition of SAR images[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(11): 1511

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: Feb. 9, 2023

    Accepted: --

    Published Online: Nov. 29, 2023

    The Author Email: Hao PAN (panhao@syuct.edu.cn)

    DOI:10.37188/CJLCD.2023-0052

    Topics