Opto-Electronic Engineering, Volume. 52, Issue 2, 240270-1(2025)

Lightweight remote sensing military aircraft target detection in complex backgrounds

Hanlian Zhou... Qing Ye and Wenqi Liu |Show fewer author(s)
Author Affiliations
  • School of Computer Science, Yangtze University, Jingzhou, Hubei 434023, China
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    Figures & Tables(18)
    Overall structure of YOLOv8-MA
    Structure of C2f and RGCE. (a) C2f; (b) RGCE
    Reparameterization process
    Overall structure of Efficient RepGFPN
    Structure of CSPStage
    Structure of LSDEHead
    Calculation process of the DEConv
    Loss function Box_loss comparison
    Dataset relevance
    Experimental results of different models
    Visualization of comparison results
    • Table 1. Comparison of detector head parameters

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      Table 1. Comparison of detector head parameters

      ModuleTime/msParams/MGFLOPs
      Detect100.620.382.70
      LSDEHead58.980.280.17
    • Table 2. Experimental parameter setting

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      Table 2. Experimental parameter setting

      ParameterValue
      Img-size640×640
      Batch-size32
      Epochs200
      OptimizerSGD
      lr0.01
      Momentum0.937
      Weight decay0.0005
      Workers2
      Pre-training ptno
    • Table 3. Ablation experiment results

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      Table 3. Ablation experiment results

      GroupRGCELRepGFPNP2LSDEHeadWise-ShapeIoUP/%R/%mAP50/%mAP50-95/%Params/MGFLOPsVolume/MBFPS
      A95.894.497.477.63.018.16.078
      B95.994.097.279.22.596.95.287
      C96.094.397.377.31.025.92.274
      D96.194.897.378.41.046.12.278
      E95.994.597.377.90.764.82.192
      F97.295.397.978.80.764.82.192
    • Table 4. Comparison of different modules

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      Table 4. Comparison of different modules

      ModuleP/%R/%mAP50/%mAP50-95/%Params/MGFLOPsFPS
      C2f95.894.497.477.63.018.178
      C396.094.196.978.72.486.990
      RepNCSPELAN496.495.397.779.52.206.191
      RGCE96.095.797.778.92.226.1112
    • Table 5. Comparative experimental results of different loss functions

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      Table 5. Comparative experimental results of different loss functions

      Loss functionP/%R/%mAP50/%mAP50-95/%
      CIoU95.994.597.377.9
      SIoU96.195.597.279
      Inner-SIoU95.194.597.478
      WIoU V395.395.497.678.2
      Shape-IoU96.396.397.779.2
      Wise-ShapeIoU97.295.397.978.8
    • Table 6. Comparison of the performance of different models

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      Table 6. Comparison of the performance of different models

      ModuleP/%R/%mAP50/%mAP50-95/%Params/MGFLOPsVolume/MBFPS
      RT-DETR93.193.394.875.728.4100.759.131
      YOLOv5s97.896.497.778.87.1016.414.527
      YOLOv796.395.697.777.836.58103.575.023
      YOLOv7-tiny95.392.997.376.74.8710.111.833
      YOLOv8n95.894.497.477.63.018.16.078
      YOLOv8s96.895.698.179.511.1428.522.569
      YOLO-MAR[14]91.711.33.9
      DTR R-CNN[4]97.377.123.84
      FAS-YOLO[15]97.277.30.895.61.9
      YOLOv9t95.095.397.778.52.6210.75.963
      YOLOv10n95.593.997.577.32.708.35.581
      Ours97.295.397.978.80.764.82.192
    • Table 7. Generalization experimental results

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      Table 7. Generalization experimental results

      DatasetModulemAP50/%mAP50-95/%FPS
      MAR20YOLOv8n97.477.678
      YOLOv8-MA97.978.892
      CASIA-SYOLOv8n97.088.150
      YOLOv8-MA98.689.362
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    Hanlian Zhou, Qing Ye, Wenqi Liu. Lightweight remote sensing military aircraft target detection in complex backgrounds[J]. Opto-Electronic Engineering, 2025, 52(2): 240270-1

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    Paper Information

    Category: Article

    Received: Nov. 20, 2024

    Accepted: Dec. 30, 2024

    Published Online: Apr. 27, 2025

    The Author Email:

    DOI:10.12086/oee.2025.240270

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