Fig. 1. YOLOv10s algorithm structure diagram

Fig. 2. Structure of the dynamic SAR image target detection algorithm fusing spatial-frequency domain

Fig. 3. Structure of SFDS

Fig. 4. Global spatial awareness (GSA) module structure

Fig. 5. Structure of frequency domain awareness (FDA) module

Fig. 6. Current feature fusion methods. (a) Element-by-element summation method; (b) Channel splicing method

Fig. 7. Adaptive feature fusion (AFF) module structure

Fig. 8. Visualisation of DY_IoU and CIoU regression calculations. (a) DY_IoU; (b) CIoU

Fig. 9. Structure of the gradient adjustment function based on the quality of the anchor frame

Fig. 10. Comparison of regression processes

Fig. 11. Comparison test visualisation results (I). (a) SKG-Net; (b) Center-Net; (c) Faster-RCNN; (d) YOLOv5s

Fig. 12. Comparison test visualisation results (II). (a) SFS-CNet; (b) YOLOv8s; (c) YOLOv10s; (d) Proposed algorithm