SAR Image Ship Target Detection based on Sea-Land Segmentation and YOLO Anchor Free

In response to the needs of maritime target monitoring, combined with the practical application of Synthetic Aperture Radar (SAR), an anchor free SAR image ship target detection model (AF-YOLO) based on YOLO under the premise of sea-land segmentation is proposed. Sea-land segmentation based on the Otsu can remove interference from the terrestrial environment and improve the identification of ships. The detection head based on the anchor free is applied to YOLO, and the weightable feature fusion structure is used for multi-scale fusion. Experiments have shown that the mAP of the proposed algorithm on the public SAR ship data set has reached 93.4%.