Xiuzai Zhang, Tao Shen, Dai Xu. Remote-Sensing Image Object Detection Based on Improved YOLOv8 Algorithm[J]. Laser & Optoelectronics Progress, 2024, 61(10): 1028001
- Laser & Optoelectronics Progress
- Vol. 61, Issue 10, 1028001 (2024)
Fig. 1. YOLOv8 algorithm model structure
Fig. 2. Improved YOLOv8 structure
Fig. 3. Structure of GAM attention mechanism
Fig. 4. Channel attention submodule
Fig. 5. Spatial attention submodule
Fig. 6. Residual attention module
Fig. 7. Variable convolution process
Fig. 8. Deformable RoI pooling process
Fig. 9. Structure of C2f-DCN
Fig. 10. Detection effects of different models. (a)‒(c) Original images; (d)‒(f) detection effects of improved YOLOv3; (g)‒(i) detection effects of YOLOv5; (j)‒(i) detection effects of YOLOv8; (m)‒(o) detection effects of improved YOLOv8
|
Table 1. Ablation experiments
|
Table 2. Performance comparison of different network models on DOTA dataset
|
Table 3. Performance comparison of different network models on RSOD dataset
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20