A dodging algorithm for large-scale spaceborne SAR images
Binyuan Liu, Mingxin Lin, Haisong Weng, Qingsong Wang · 2023
Achieving high-quality output if large-scale SAR image stitching demands color balancing of the images to be stitched. However, adjacent SAR images may exhibit large differences in radiation intensity, particularly in the context of different-track SAR images. Furthermore, the diverse sizes and uneven spatial distribution of SAR images from different sources pose a challenge for color balancing in image stitching. To alleviate these issues, we propose a large-scale multi-track spaceborne SAR image dodging stitching scheme based on the working characteristics of spaceborne SAR. We leverage different algorithms for along-track and across-track SAR image dodging, based on the statistical characteristics of the overlap region and block processing, to ensure uniform luminance and contrast in the color-balanced stitched images. We introduce an evaluation metric to assess the extent of contrast preservation between the images before and after dodging. In our experiments, we utilize 116 Gaofen-3 and Sentinel-1 SAR images for dodging stitching and compare our proposed method to traditional dodging methods. The proposed method outperforms traditional methods both in terms of visual effects and evaluation metrics.