Spacecraft Recovery & Remote Sensing, Volume. 45, Issue 2, 134(2024)
SAR Ship Detection Algorithm Based on Long-Short Path Fusion and Data Balance
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Table 1. Comparison of evaluation indexes of different detection methods
% View tableView in ArticleTable 1. Comparison of evaluation indexes of different detection methods
% 方法 精确率 召回率 F1分数 平均精度 RetinaNet 90.61 83.58 86.95 88.81 Faster R-CNN 89.5 87.85 88.67 89.70 YOLOv7 93.75 94.79 94.26 97.03 LSFF-Net 97.36 94.85 96.08 97.50
Table 2. Comparison of evaluation indexes of ablation experiment
% View tableView in ArticleTable 2. Comparison of evaluation indexes of ablation experiment
% 方法 精确率 召回率 F1分数 平均精度 基准模型 85.86 91.54 88.61 91.88 基准模型+ LSFF-Block 92.78 94.49 93.62 96.08 LSFF-Net 97.36 94.85 96.09 97.50
Table 3. Validation results of data redistribution effectiveness
% View tableView in ArticleTable 3. Validation results of data redistribution effectiveness
% 数据集 数据增强算法 精确率 召回率 F1分数 近岸 普通数据增强 78.13 83.33 80.64 数据重分配 96.15 83.34 89.28 离岸 普通数据增强 97.18 97.64 97.41 数据重分配 97.65 98.11 97.88 完整 普通数据增强 92.78 94.49 93.62 数据重分配 97.36 94.85 96.09
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Yu ZHANG, Lei YU, Mingguang SHAN, Liying ZHENG, Xuhui LIANG. SAR Ship Detection Algorithm Based on Long-Short Path Fusion and Data Balance[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(2): 134
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Received: Aug. 10, 2023
Accepted: --
Published Online: May. 29, 2024
The Author Email: SHAN Mingguang (shanmingguang@hrbeu.edu.cn)
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