Opto-Electronic Engineering, Volume. 51, Issue 6, 240066-1(2024)

Feature coordination and fine-grained perception of small targets in remote sensing images

Zhenjiu Xiao... Jiehao Zhang* and Bohan Lin |Show fewer author(s)
Author Affiliations
  • School of Software, Liaoning University of Engineering and Technology, Huludao, Liaoning 125105, China
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    Figures & Tables(11)
    Overall model structure
    Structure of KernelWarehouse
    Feature synergy module
    Fine-grained aware detect head
    Aware attention mechanism
    Training results of the YOLOv8 algorithm
    Training results of the proposed algorithm
    Comparison of detection results
    • Table 1. Ablation experiments of the proposed algorithm in the DOTA1.0 dataset

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      Table 1. Ablation experiments of the proposed algorithm in the DOTA1.0 dataset

      NumberABCDPrecision/%Recall/%FPSmAP@0.5 /%mAP@0.5:.0.95 /%
      1××××79.068.743474.350.9
      2×××82.170.238476.552.5
      3×××84.469.037075.251.6
      4×××80.169.747675.551.4
      5×××80.570.445475.851.8
      6××83.372.356678.053.9
      7××84.969.928576.452.8
      8×84.873.840279.855.6
      9×82.371.741677.053.0
      1084.375.645481.758.0
    • Table 2. Experimental results of different algorithms on DOTA1.0 dataset; unit: %

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      Table 2. Experimental results of different algorithms on DOTA1.0 dataset; unit: %

      CategoryYOLOv5YOLOv7CornerNetR-FCNYOLO-BiFPNYOLO-PWCAYOLO-DCTIOurs
      SV75.176.510.149.881.777.686.888.4
      LV86.786.750.245.185.485.790.990.3
      PL93.692.364.781.191.892.691.993.0
      ST74.370.957.967.477.972.785.777.5
      SH89.689.131.349.389.187.581.191.7
      HA87.783.580.545.288.284.188.589.8
      GTF71.155.524.958.969.364.273.675.4
      SBF62.158.422.741.866.864.570.670.7
      TC94.094.985.568.993.494.093.896.0
      SP82.879.518.553.364.164.283.085.0
      BD76.171.138.258.974.078.777.378.8
      RA64.347.144.551.459.462.063.965.2
      BC78.372.262.552.176.275.582.182.5
      BR59.245.326.231.656.451.857.157.7
      HC84.481.712.133.983.076.385.287.2
      mAP@0.578.673.642.052.680.278.880.681.7
    • Table 3. Experimental results of different algorithms on DOTA1.5 dataset; unit: %

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      Table 3. Experimental results of different algorithms on DOTA1.5 dataset; unit: %

      CategoryYOLOv5YOLOv7CornerNetR-FCNYOLO-BiFPNYOLO-PWCAYOLO-DCTIOurs
      SV57.866.550.359.770.571.275.277.3
      LV71.482.159.658.977.886.388.589.6
      PL80.588.476.577.384.190.780.190.1
      ST77.880.968.170.576.273.175.777.6
      SH76.785.360.764.877.186.487.389.4
      HA82.681.777.875.186.980.689.190.5
      GTF73.780.664.160.377.575.374.976.1
      SBF63.268.458.361.673.466.875.175.2
      TC85.583.280.779.887.689.583.791.0
      SP76.178.672.973.460.570.180.481.3
      BD79.378.268.670.680.183.784.884.9
      RA73.475.470.266.574.668.770.176.9
      BC78.381.173.474.880.482.680.783.1
      BR60.362.563.266.367.169.862.670.2
      HC68.865.662.760.178.977.482.480.3
      CC62.767.864.566.973.170.374.275.6
      mAP@0.576.375.672.070.878.777.978.180.4
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    Zhenjiu Xiao, Jiehao Zhang, Bohan Lin. Feature coordination and fine-grained perception of small targets in remote sensing images[J]. Opto-Electronic Engineering, 2024, 51(6): 240066-1

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    Paper Information

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    Received: Mar. 20, 2024

    Accepted: Apr. 26, 2024

    Published Online: Oct. 21, 2024

    The Author Email: Zhang Jiehao (张杰浩)

    DOI:10.12086/oee.2024.240066

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