Opto-Electronic Engineering, Volume. 51, Issue 7, 240099(2024)
Remote sensing image detection algorithm integrating visual center mechanism and parallel patch perception
Figures & Tables(14)
Fig. 1. Remote sensing image detection model integrating visual center mechanism and parallel patch perception
Fig. 6. Remote sensing target detection results of different algorithms
Table 1. Parameter setting
View tableView in ArticleTable 1. Parameter setting
参数 参数值 输入图像分辨率 640×640 初始学习率 0.01 动量参数 0.937 权重衰减系数 0.0005 训练轮次 300 批量大小 16
Table 2. Experiments on contrasting attentional differences
View tableView in ArticleTable 2. Experiments on contrasting attentional differences
注意力 参数量/M FPS mAP@0.5/% CBAM 11.3 92 96.1 SE 11.1 90 93.4 CA 11.1 92 96.2 EMA 11.1 93 95.6 LSK 11.5 92 96.5
Table 3. Effectiveness of decomposing a large kernel into two sequences of depth-wise separable kernels
View tableView in ArticleTable 3. Effectiveness of decomposing a large kernel into two sequences of depth-wise separable kernels
(k1, d1) (k2, d2) RF FPS mAP@0.5/% (3, 1) (5, 2) 11 104 92.0 (5, 1) (7, 3) 23 105 95.0 (7, 1) (9, 4) 39 88 94.7
Table 4. Comparison of experiments between MFFM and ELAN
View tableView in ArticleTable 4. Comparison of experiments between MFFM and ELAN
模块 参数量/M FPS mAP@0.5/% ELAN 6.0 88 94.6 MFFM 4.8 126 94.2
Table 5. Ablation experimental data
View tableView in ArticleTable 5. Ablation experimental data
模型 准确率P/% 召回率R/% 平均准确率AP/% 平均准确率均值 mAP@0.5/% 飞机 油桶 立交桥 操场 M1 90.3 93.1 97.9 97.8 85.0 97.7 94.6 M2 92.6 91.2 97.7 98.5 88.5 98.4 95.8 M3 92.0 95.2 97.8 98.8 91.4 99.5 96.9 M4 91.8 95.5 97.7 98.6 93.0 98.8 97.0
Table 6. Comparison of detection data from different algorithms
View tableView in ArticleTable 6. Comparison of detection data from different algorithms
模型 参数量/M FPS 平均准确率AP/% 平均准确率均值 mAP@0.5% 飞机 油桶 立交桥 操场 Faster R-CNN 72.0 10 71.0 98.0 85.0 100.0 88.5 SSD 24.4 43 79.0 98.0 73.0 100.0 87.5 YOLOv3-tiny 12.1 104 94.2 96.4 76.9 98.5 91.5 YOLOv4-tiny 6.1 50 70.7 97.3 61.7 99.1 82.4 YOLOv5s 9.1 90 97.4 97.8 87.4 99.3 95.5 YOLOv5m 25.0 56 97.0 96.8 89.4 99.2 95.6 YOLOv7-tiny 6.0 88 97.9 97.8 85.0 97.7 94.6 YOLOv8s 11.1 97 97.6 97.2 82.8 99.4 94.3 YOLOv8m 25.8 53 97.2 98.1 84.3 99.5 94.8 ours 11.5 85 97.7 98.6 93.0 98.8 97.0
Table 7. Comparison of detection results on NWPU VHR-10 dataset
View tableView in ArticleTable 7. Comparison of detection results on NWPU VHR-10 dataset
模型 准确率P/% 召回率R/% 参数量/M FPS mAP@0.5/% YOLOv7-tiny 88.7 88.4 6.0 83 90.7 Ours 92.5 87.6 11.5 79 93.7
Table 8. Comparison of detection results on DOTA dataset
View tableView in ArticleTable 8. Comparison of detection results on DOTA dataset
模型 准确率P/% 召回率R/% 参数量/M FPS mAP@0.5/% YOLOv7-tiny 78.2 70.4 6.0 82 74.7 Ours 80.0 71.2 11.5 77 76.0
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Liming Liang, Kangquan Chen, Chengbin Wang, Yao Feng, Pengwei Long. Remote sensing image detection algorithm integrating visual center mechanism and parallel patch perception[J]. Opto-Electronic Engineering, 2024, 51(7): 240099
Paper Information
Category: Article
Received: May. 1, 2024
Accepted: Jul. 10, 2024
Published Online: Nov. 12, 2024
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