**5. Discussion**

From the experimental results, it can be seen that compared with the other networks, our RBFA-Net achieves better performance indicators, in particular, the highest mAP. However, like other current networks, our RBFA-Net also has some similar problems. For example, the false alarm rate is still high. The classification accuracy of small sample ships, such as dredger ships and fishing ships, is still low. The rotation angle accuracy is not high enough, and alignment errors exist. These are the problems that we need to further study in the next stage. From the ablation study results, it can be seen that anchor-guided feature alignment network plays an important role in SAR ship detection with rotated bounding boxes. Therefore, it is very important to study how to better align the feature maps with the rotated anchors in the future.
