Optical image and SAR image registration based on improved SIFT-Like algorithm

Yang Wu; Mingbo Jiang; Shidong Li; Min Chen; Yue Zhao; Da Teng

doi:10.1117/12.2682635

1 June 2023 Optical image and SAR image registration based on improved SIFT-Like algorithm

Yang Wu, Mingbo Jiang, Shidong Li, Min Chen, Yue Zhao, Da Teng

Proceedings Volume 12710, International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2023); 127100W (2023) https://doi.org/10.1117/12.2682635
Event: International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2023), 2023, Changsha, China

Abstract

Although optical image has high resolution, it is extremely susceptible to the impact of harsh environments which will cause the loss of spectral details. SAR image has strong penetrating power to vegetation, clouds and snow, but they will be disturbed by coherent speckle noise. In addition, the imaging mechanism of optical image and SAR image is different, and the gray information is vastly different, which may lead to the failure of the performance of the two image registrations. In this letter, we propose an improved SIFT-Like image registration algorithm. Different gradient operators are used to calculate the gradient of optical image and SAR image respectively, and the corresponding scale space is constructed, and then the feature descriptor is constructed. Experimental results on optical and SAR image pairs show that the proposed algorithm in this letter has a significant improvement in the correct matching rate and registration accuracy compared with other algorithms.

Citation Download Citation

Yang Wu, Mingbo Jiang, Shidong Li, Min Chen, Yue Zhao, and Da Teng "Optical image and SAR image registration based on improved SIFT-Like algorithm", Proc. SPIE 12710, International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2023), 127100W (1 June 2023); https://doi.org/10.1117/12.2682635

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