Research on SAR image change detection based on image optimization technology
Through image enhancement, the quality of SAR images can be improved to make the details and structures in the images clearer. Through image fusion, the information of different images can be synthesized, the accuracy of detection can be improved, and the probability of false detection and missing detection can be reduced. In this paper, gamma correction, filter denoising and structure enhancement are used to improve the quality and contrast of SAR images. which synthesizes the information of different images and improves the accuracy of change detection. Through experimental verification, the accuracy of the above method in the process of SAR image change detection is verified, in order to provide some support for the technical application in related fields.
Authors
- Rongrong Wu (ORCID: https://orcid.org/0009-0002-7677-4072)
- Zhimei Cui
- Zhidu Huang (ORCID: https://orcid.org/0000-0002-1094-529X)
- Wei Huang (ORCID: https://orcid.org/0000-0002-5862-3126)
Publication Details
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1117/12.3054990
- Primary Topic
- Remote Sensing and Land Use
- Type
- article
- Field-Weighted Citation Impact
- 0.00