“In the field of remote sensing image conversion, experts have proposed a semantic guided contrastive learning method for SAR and optical image conversion, which effectively solves the problem of traditional contrastive learning failure, significantly improves the semantic fidelity and cross modal feature alignment ability of generated images, and achieves optimal comprehensive performance in downstream tasks, providing a new solution for unsupervised SAR and optical image conversion.”