Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 1, 128(2023)

Aircraft target detection method based on improved SSD

Jing LI1,2、*, Jia-cheng YU1, and Ling-ling ZHANG2
Author Affiliations
  • 1College of Electronic Information Engineering,Xi'an Technological University,Xi'an 710021,China
  • 2College of Ordnance Science and Technology,Xi'an Technological University,Xi'an 710021,China
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    Figures & Tables(12)
    Structure of SSD model
    Structure of improved SSD model
    Schematic diagram of the FFM process
    Feature map comparison before and after fusion
    Schematic diagram of the bottleneck attention module
    Visualization of heat maps
    Size ratio of the real frame in the original image
    Detection results of different algorithms in different scenarios
    Detection results in special environments
    • Table 1. Priori boxes and numbers on layer of feature maps

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      Table 1. Priori boxes and numbers on layer of feature maps

      特征层原尺寸改进后尺寸
      Conv4_3_1[30,60]21,45]
      Conv7_1[60,111][45,99]
      Conv8_2[111,162][99,153]
      Conv9_2[162,213][153,207]
      Conv10_2[213,264][207,261]
      Conv11_2[264,315][261,315]
    • Table 2. Detection accuracy of each algorithm in aerial aircraft data set

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      Table 2. Detection accuracy of each algorithm in aerial aircraft data set

      MethodBackboneAP/%(IOU=0.5)FPS
      FAST R-CNNRestNet5092.46.7
      SSDVGG1688.242.3
      DSSDResNet10191.511.4
      YOLOv3DarkNet5091.733.9
      YOLOv4DarkNet5394.337.4
      YOLOv4-tinyCSPdarknet53-tiny89.371.2
      OursVGG1695.730.8
    • Table 3. Influence of each independent module on aerial target detection

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      Table 3. Influence of each independent module on aerial target detection

      SSD

      Feature fusion

      mechanism

      Botteleneck

      attention model

      Adjust the prior

      box parameters

      Recall/%Precision/%AP/%FPS
      40.899.288.242.3
      53.798.891.735.4
      49.398.990.838.7
      45.499.189.842.1
      69.998.194.132.6
      64.698.593.936.5
      61.198.693.434.3
      80.697.695.730.8
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    Jing LI, Jia-cheng YU, Ling-ling ZHANG. Aircraft target detection method based on improved SSD[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(1): 128

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    Paper Information

    Category: Research Articles

    Received: May. 31, 2022

    Accepted: --

    Published Online: Feb. 20, 2023

    The Author Email: Jing LI (840407561@qq.com)

    DOI:10.37188/CJLCD.2022-0183

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