A Multiscale Rotation Ship Detection Network for SAR Images Based on Scale-Aware Gaussian Loss and Direction Decoupled Attention
A multiscale rotation ship detection network for SAR images based on scale-aware Gaussian loss and directionally decoupled attention (SGDDNet) was proposed, which suppresses the feature aliasing caused by side lobe interference from targets, thereby enhancing the feature discriminability of ship targets.