测绘学报 ›› 2024, Vol. 53 ›› Issue (10): 1910-1919.doi: 10.11947/j.AGCS.2024.20230247.

• 卫星重大测绘工程“陆探一号” • 上一篇    

基于相位质量融合估计与信息滤波的相位解缠方法

高延东1,2,(), 郑南山1,2(), 张艳锁1,2, 李世金1,2, 杨化超1,2, 卞和方1,2, 张秋昭1,2, 张书毕1,2, 田雨1,2   

  1. 1.中国矿业大学自然资源部国土环境与灾害监测重点实验室,江苏 徐州 221116
    2.中国矿业大学环境与测绘学院,江苏 徐州 221116
  • 收稿日期:2023-06-23 发布日期:2024-11-26
  • 通讯作者: 郑南山 E-mail:ydgao@cumt.edu.cn;znshcumt@cumt.edu.cn
  • 作者简介:高延东(1988—),男,博士,副教授,研究方向为单/多基线相位解缠、InSAR高精度DEM反演。E-mail:ydgao@cumt.edu.cn
  • 基金资助:
    国家自然科学基金(U22A20569);中央高校基本科研业务费项目-青年科技基金(2023QN1045);中国博士后科学基金面上项目(2023M733743)

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)

摘要:

L波段差分干涉SAR卫星(陆探一号,LT-1)是我国首个L频段全极化民用SAR卫星星座,该组卫星将长期服务于自然资源监测监管,DEM生产是其主要任务之一。众所周知,相位解缠是影响DEM反演精度的关键因素之一,然而,高噪声及大梯度变化区域解缠结果精度低一直是相位解缠的瓶颈难题。对此,本文提出了一种相位质量融合估计策略引导的迭代信息滤波与解缠方法。首先,对干涉图像素的相干性、相位梯度、噪声分量和干涉条纹边缘进行估计与拟合,进而指导解缠路径布设,提高相位解缠结果的准确性;然后,采用中心差分信息滤波器实现解缠相位的准实时状态估计,进而提高解缠方法的稳健性;最后,通过TerraSAR-X/TanDEM-X双星及LT-1A/B双星SAR数据进行试验验证。结果表明,本文方法精度较统计费用流算法提高了约65.3%;较无迹信息滤波解缠算法提高了约13.6%。此外,试验结果不仅验证了本文方法的有效性,而且证明LT-1双星系统可达到高精度地形重建的预期效果,能为我国后续多云多雨区的DEM产品生产提供高精度的数据源。

关键词: 陆探一号, DEM, 相位解缠, 相位质量估计, 信息滤波

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

中图分类号: