An Improved Reconstruction Technique for Resolution Enhancing of Spaceborne 1-D Interferometric Microwave Radiometer
The interferometric microwave radiometer (IMR) utilizes an interferometric synthetic aperture technique to achieve high spatial resolution in low-frequency microwave remote sensing, addressing the challenges of deploying large-scale passive sensors in space. IMR measures spatial harmonics of scene brightness temperature, known as visibility, which are then used in inversion algorithms to reconstruct the target brightness temperature. In 1-D IMR, the interferometric synthetic aperture technique is applied only in the cross-track direction, resulting in higher resolution compared with the coarser along-track direction determined by the real antenna aperture. Current research focuses on cross-track inversion, which has yielded promising results; however, the low along-track resolution remains a significant limitation for its overall application. This article introduces the Backus-Gilbert (BG)-inspired 1-D IMR resolution enhancement method, inspired by real aperture microwave radiometer techniques, to address along-track resolution limitation. The study utilizes the L-band 1-D IMR of the Microwave Imager Combined Active and Passive (MICAP) aboard the Chinese Ocean Salinity Satellite as an example. Results from synthetic test images and hardware-in-the-loop simulation demonstrate that the proposed method enhances along-track resolution and provides the flexibility to optimize for either higher image quality or radiometric resolution comparable to the traditional 1-D IMR inversion method. Additionally, it improves the accuracy of salinity measurements in coastal areas.
Authors
- Shishuai Wang (ORCID: https://orcid.org/0000-0002-0539-2213)
- Xiaobin Yin (ORCID: https://orcid.org/0000-0003-3422-8129)
- Wu Zhou (ORCID: https://orcid.org/0000-0002-1034-3176)
- Jingjing Ren (ORCID: https://orcid.org/0000-0001-8732-1875)
- Huan Zhang (ORCID: https://orcid.org/0000-0001-6914-043X)
- Mingyao He (ORCID: https://orcid.org/0009-0008-6344-6102)
- Hao Liu (ORCID: https://orcid.org/0000-0002-0392-0844)
- Yan Li (ORCID: https://orcid.org/0009-0003-9109-0303)
Institutions
- China Academy of Space Technology (CN)
- Chinese Academy of Sciences (CN)
- Ministry of Natural Resources (CN)
- National Space Science Center (CN)
- National Satellite Ocean Application Service (CN)
- Ocean University of China (CN)
Publication Details
- Journal
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tgrs.2025.3552978
- Citations
- 3
- Primary Topic
- Soil Moisture and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 2.40
Funders
- Natural Science Foundation of Shandong Province
- Fundamental Research Funds for the Central Universities