On Feasibility of Cross-Satellite SAR Ship Re-Identification

This study explores the feasibility of cross-satellite SAR ship re-identification (SAR Ship ReID). In order to overcome the adverse effects of the significant modality differences between various satellites, this study improves the method of contrastive language-image pre-training re-identification (CLIP-ReID) to adapt the cross-satellite SAR Ship Re-ID task. Specifically, we retain the text encoder of CLIP-ReID while improve the image encoder to better adapt it for SAR images. To verify its feasibility, we designed two test experiments, which respectively use (1) high-quality images as Query and low-quality images as Gallery, and (2) low-quality images as Query and high-quality images as Gallery. The proposed method achieved almost the same high Re-ID accuracy in both experiments, demonstrating the feasibility and stability. Additionally, the performance of the proposed method also surpasses several recent methods.