MSFusion, A End-to-end SAR And Optical Image Fusion Method
With the advancement of remote sensing technology, the application fields of remote sensing images have become increasingly extensive. SAR images contain abundant texture information, while optical images contain a wealth of contour information. Combining the advantages of both can result in images with richer information content. In this paper, we propose a CNN-based SAR image and optical image fusion model, named MSFusion, and compare it with mainstream image fusion algorithms, demonstrating promising results.
Authors
- Di Lin (ORCID: https://orcid.org/0000-0002-1623-9986)
- Zongxiao Tao (ORCID: https://orcid.org/0009-0002-6225-1844)
- Can Yu
- Jikang Mo
- Hao Lin (ORCID: https://orcid.org/0009-0002-1533-791X)
- Zongbo Hao
Institutions
- University of Electronic Science and Technology of China (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/icites62688.2024.10777434
- Primary Topic
- Advanced Image Fusion Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Sichuan Province