An Innovative Along-Track Two-Stage Programming Approach for Accurately Retrieving Sea Surface Velocity From Hybrid InSAR System
The hybrid along-track (AT)/cross-track (XT) synthetic aperture radar interferometry (InSAR) system enables the measurement of radial sea surface velocity, where solving it through phase unwrapping (PU) is intrinsically ill-posed due to the coupling of velocity-induced and height-induced phase components. Conventional hardware-based methods impose stringent and costly system requirements, while auxiliary-data-dependent approaches are error susceptible. Under this condition, we innovatively propose an along-track two-stage programming approach (AT-TSPA) multibaseline (MB) PU method within the three-pass differential InSAR (DInSAR) framework. AT-TSPA addresses the ill-posedness by making use of the normal baseline diversity, thus enabling accurate and robust retrieval of sea surface velocity without relying on hardware upgrades or external auxiliary data. Both theoretical analysis and experimental results demonstrate that AT-TSPA is effective and practical for accurately measuring sea surface velocity under complex oceanic conditions. AT-TSPA is also applicable to other fields involving coupled velocity and height phase components, such as sea ice velocity estimation. Furthermore, AT-TSPA extends the theory of TSPA-based MB InSAR from terrestrial to oceanic domains, thereby advancing the applicability and practicability of well-posed InSAR techniques.
Authors
- Qingjun Zhang (ORCID: https://orcid.org/0000-0001-5285-5738)
- Hanwen Yu (ORCID: https://orcid.org/0000-0001-5057-2072)
- Taoli Yang (ORCID: https://orcid.org/0000-0002-8448-7789)
- Yan Yan (ORCID: https://orcid.org/0000-0001-6294-3467)
- Zhibin Wang (ORCID: https://orcid.org/0000-0003-4149-031X)
Institutions
- University of Electronic Science and Technology of China (CN)
- China Academy of Space Technology (CN)
- State Key Laboratory of Remote Sensing Science (CN)
Publication Details
- Journal
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tgrs.2025.3616958
- Citations
- 2
- Primary Topic
- Underwater Vehicles and Communication Systems
- Type
- article
- Field-Weighted Citation Impact
- 2.29