Mr. Pengcheng Guo Profile

Pengcheng Guo

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Proceedings Article | 22 May 2024 Paper

SAR-optical image registration via diffusion model-based cross-domain translation

Yiwen Mei, Bingwei Hui, Pengcheng Guo, Hongqi Fan

Proceedings Volume 13176, 131760V (2024) https://doi.org/10.1117/12.3029117

KEYWORDS: Synthetic aperture radar, Diffusion, Image processing, Image registration, Optical alignment, Radio optics, Image fusion, Geometrical optics, Model based design

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Image registration is one of the essential pre-processing steps in remote sensing data applications such as change detection, image fusion, and so on. Since SAR images and optical images differ in several ways but have strong complementarity, a new registration approach based on image cross-domain translation is proposed. The image cross-domain translation was realized on the foundation of the diffusion model which had a strong ability for image generation. First, the unconditional diffusion model was trained to generate SAR-like images. Then, a novel condition was introduced to the inverse process to convert the optical image into the corresponding SAR-like image via a generative network. Finally, RIFT is used to extract and match the features between the generated SAR-like image and the actual SAR image to achieve the registration between the original optical image and the actual SAR image. The experimental results show that the diffusion model-based generative network is stable in training and convenient in controlling the conditional parameters, which can better solve the problem of radiometric discrepancy between SAR images and optical images.

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