Acta Geodaetica et Cartographica Sinica ›› 2024, Vol. 53 ›› Issue (10): 1910-1919.doi: 10.11947/j.AGCS.2024.20230247.

• Major Satellite Surveying and Mapping Project “LuTan-1” • Previous Articles    

A phase unwrapping method based on phase quality fusion estimation and information filtering

Yandong GAO1,2,(), Nanshan ZHENG1,2(), Yansuo ZHANG1,2, Shijin LI1,2, Huachao YANG1,2, Hefang BIAN1,2, Qiuzhao ZHANG1,2, Shubi ZHANG1,2, Yu TIAN1,2   

  1. 1.Key Laboratory of Land Environment and Disaster Monitoring of Natural Resources, China University of Mining and Technology, Xuzhou 221116, China
    2.School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
  • Received:2023-06-23 Published:2024-11-26
  • Contact: Nanshan ZHENG E-mail:ydgao@cumt.edu.cn;znshcumt@cumt.edu.cn
  • About author:GAO Yandong (1988—), male, PhD, associate professor, majors in single/multi-baseline phase unwrapping and InSAR high precision DEM inversion. E-mail: ydgao@cumt.edu.cn
  • Supported by:
    The National Natural Science Foundation of China(U22A20569);The Fundamental Research Funds for the Central Universities(2023QN1045);China Postdoctoral Science Foundation(2023M733743)

Abstract:

The LuTan-1 (LT-1) L-band differential interferometric synthetic aperture radar (SAR) system is China's first fully polarized L-band civil SAR satellite constellation, which will extensively monitor and supervise natural resources.One of the main tasks of this satellite constellation is producing a digital elevation model (DEM). As we all know, phase unwrapping is one of the key factors affecting the accuracy of DEM inversion.However, the low accuracy of unwrapping results in areas with high noise and large gradient changes has always been a bottleneck for phase unwrapping. To address the problem, this paper proposes an iterative approach for information filtering and unwrapping that uses the phase quality fusion strategy. First, the coherence, phase gradient, noise component, and interferometric fringe edge of the interferogram are estimated and fitted to guide the unwrapping path to improve the precision of the PU result. Then, during the iteration process, a central differential information filter is used to obtain quasi-real-time state estimation of the unwrapped phase, improving the PU model's robustness. Finally, experimental verification was conducted through TerraSAR-X/TanDEM-X binary star and LT-1 A/B binary star SAR data, and the results showed that the proposed PU approach in this paper is approximately 65.3% more accurate than the statistical cost flow algorithm and about 13.6% more accurate than the unscented information filter unwrapping algorithm. In addition, the experimental results not only confirm the effectiveness of the proposed method but also demonstrate that the LT-1 helix bistatic formation can achieve the expected results for high-precision terrain reconstruction, providing a high-precision data source for the generation of DEM products covering the cloudy and rainy regions of China.

Key words: LuTan-1, DEM, phase unwrapping, phase quality estimation, information filtering

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