A new method called LoRA Enhanced Contrastive Learning with SAS Vision Transformers has been developed to improve automatic target recognition in synthetic aperture sonar, addressing limitations such as sparse target data and background noise. This advancement is crucial for enhancing naval capabilities through more efficient and accurate underwater target identification.