Laser & Optoelectronics Progress, Volume. 59, Issue 24, 2415005(2022)
Rotation Target Detection Algorithm for Remote Sensing Image Using Attention Mechanism
Fig. 1. YOLOv5 network structure
Fig. 2. Long edge definition method
Fig. 3. PSANeck structure
Fig. 4. PSA module structure
Fig. 5. ECALayer structure
Fig. 6. YOLOv5 PAN structure
Fig. 7. Improved feature fusion structure
Fig. 8. Densely coded label
Fig. 9. Improved network structure diagram
Fig. 10. YOLOv5m multi-scale characteristic thermodynamic diagram. (a) High resolution branch; (b) medium resolution branch; (c) low resolution branch
Fig. 11. Improved algorithm multiscale characteristic thermodynamic diagram. (a) High resolution branch; (b) medium resolution branch; (c) low resolution branch
Fig. 12. Comparison of detection effect between YOLOv5m and improved algorithm. (a)(b)(c) detection results of YOLOv5m algorithm; (d) (e) (f) detection results of improved algorithm
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Yu Zhang, Jie Ma, Jinwen Cui, Yuehua Zhao, Hong Liu. Rotation Target Detection Algorithm for Remote Sensing Image Using Attention Mechanism[J]. Laser & Optoelectronics Progress, 2022, 59(24): 2415005
Category: Machine Vision
Received: Sep. 15, 2021
Accepted: Oct. 25, 2021
Published Online: Jan. 11, 2023
The Author Email: Ma Jie (jma@hebut.edu.cn)