Journal of Applied Optics, Volume. 45, Issue 4, 723(2024)

Infrared image UAV target detection algorithm based on IDOU-YOLO

Haiyong CHEN1... Dengbin LIU1, and Xingwei YAN23,* |Show fewer author(s)
Author Affiliations
  • 1School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300401, China
  • 2College of Electronic Science, National University of Defense Technology, Changsha 410073, China
  • 3Tianjin Institute of Advanced Technology, Tianjin 300459, China
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    Figures & Tables(9)
    IDOU-YOLO algorithm model
    Structure diagram of MMFPN and common neck network
    Schematic diagram of MMFPN path
    Schematic diagram of SIOU loss parameters
    Images of detection results for algorithm
    • Table 1. Overall properties of IDOU-YOLO and YOLOv7 on anti-UAV dataset

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      Table 1. Overall properties of IDOU-YOLO and YOLOv7 on anti-UAV dataset

      ModelP/%R/%PmAP@ 0.5/%PmAP@ 0.5:0.95/%F1/%FPS
      YOLOv798.994.297.067.696.593.5
      IDOU-YOLO99.296.398.470.297.779.4
    • Table 2. Experimental results of performance of neck network comparison

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      Table 2. Experimental results of performance of neck network comparison

      NeckP/%R/%PmAP@ 0.5/%PmAP@ 0.5:0.95/%F1/%FPS
      FPN97.689.295.666.293.2123.5
      PANet98.696.098.069.497.395.2
      BiFPN98.796.298.470.197.495.2
      MMFPN99.296.398.470.297.779.4
    • Table 3. Experimental results of bounding box loss function comparison

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      Table 3. Experimental results of bounding box loss function comparison

      LossP/%R/%PmAP@0.5/%PmAP@0.5:0.95/%F1/%
      DIoU99.196.098.069.797.5
      GIoU98.796.397.969.797.5
      CIoU99.695.498.469.997.5
      SIoU99.296.398.470.297.7
    • Table 4. Comparative experimental results of IDOU-YOLO and mainstream target detection algorithms

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      Table 4. Comparative experimental results of IDOU-YOLO and mainstream target detection algorithms

      ModelP/%R/%PmAP@0.5/%F1/%FPS
      Faster-RCNN34.766.052.345.519.2
      SSD98.860.086.174.774.1
      Retinanet99.760.965.875.639.5
      Centernet98.685.991.191.866.2
      FCOS98.781.991.989.541.6
      YOLOX98.889.893.194.137.9
      YOLOv599.195.798.297.463.3
      IDOU-YOLO99.296.398.497.779.4
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    Haiyong CHEN, Dengbin LIU, Xingwei YAN. Infrared image UAV target detection algorithm based on IDOU-YOLO[J]. Journal of Applied Optics, 2024, 45(4): 723

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    Paper Information

    Category: Research Articles

    Received: May. 4, 2023

    Accepted: --

    Published Online: Oct. 21, 2024

    The Author Email: YAN Xingwei (晏行伟)

    DOI:10.5768/JAO202445.0402001

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