空军工程大学学报2026，Vol.27Issue(2)：110-119,10.DOI:10.3969/j.issn.2097-1915.2026.02.013
基于扩散薛定谔桥的SAR到光学图像转换方法
A New Model of Translating SAR into Optical Images Based on Diffusion Schrödinger Bridge
摘要
Abstract
In view of the problem that effective interpretation of SAR images is extremely difficult,this paper pro-poses a new model of translating SAR into optical images.The model is very unlike the existing methods relying on strictly aligned datasets for training,and does not depend on such preconditions,enabling the generation of images to assist in the interpretation tasks associated with SAR imagery.And the proposed method is to utilize the diffu-sion Schroinger bridge theory for decomposing the complex transformation relationships between SAR and optical images into multi-step generative processes.Through mitigating the impact of coherent spot noise(CSN)on feature extraction,an AD-DPM denoising preprocessing module is incorporated into the model.Furthermore,a ViT-UNet generator is employed for deep feature extraction,while incorporating PatchNCE regularization terms into the loss function to enhance the preservation of underlying structural components during the generation process.The exper-iments conducted by using the SEN1-2 dataset demonstrate that the proposed method can effectively convert SAR images into high-quality optical images that align with visual perception standards.Compared to the baseline meth-od CUT,the PSNR、SSIM、FID and LPIPS metrics improved by 38.4％、42.2％、30.6％and 21.0％,respectively.These results provide a valuable reference for improving the efficient and accurate interpretation of SAR images.关键词
SAR图像/光学图像/图像转换/辅助判读Key words
SAR image/optical image/image to image translation/supportive interpretation分类
信息技术与安全科学引用本文复制引用
贠相亚,董恩志,左晓桐,赵月飞,王长龙..基于扩散薛定谔桥的SAR到光学图像转换方法[J].空军工程大学学报,2026,27(2):110-119,10.基金项目
基础加强计划领域基金(2019-JCJQ-JJ-05) （2019-JCJQ-JJ-05）
