I. Introduction
In the field of remote sensing, synthetic aperture radar has all-weather, all-day imaging capability [1] . Ship detection is a crucial application of SAR imagery, holding significant importance in both military and civilian sectors. Accurate location data offers vital intelligence for governments and military forces to swiftly address maritime emergencies [2]. With advancements in artificial intelligence, ship detection techniques utilizing convolutional neural networks (CNNs) have demonstrated outstanding performance [3].