测绘学报 ›› 2025, Vol. 54 ›› Issue (11): 1954-1967.doi: 10.11947/j.AGCS.2025.20250277

• 大地测量学与导航 • 上一篇    

顾及运动误差特性的无人机载重轨InSAR数据处理方法

彭葳1(), 阳靖1, 付海强2, 朱建军2(), 曾东2   

  1. 1.长沙理工大学航空工程学院,湖南 长沙 410114
    2.中南大学地球科学与信息物理学院,湖南 长沙 410083
  • 收稿日期:2025-07-23 修回日期:2025-11-03 发布日期:2025-12-15
  • 通讯作者: 朱建军 E-mail:pengwei@csust.edu.cn;zjj@csu.edu.cn
  • 作者简介:彭葳(1989—),男,博士,副教授,主要研究方向为无人机载InSAR测量。E-mail:pengwei@csust.edu.cn
  • 基金资助:
    国家自然科学基金(42227801);国家重点研发计划(2024YFB2605500)

UAV-borne repeat-pass InSAR data processing method considering motion error characteristics

Wei PENG1(), Jing YANG1, Haiqiang FU2, Jianjun ZHU2(), Dong ZENG2   

  1. 1.School of Aeronautical Engineering, Changsha University of Science & Technology, Changsha 410114, China
    2.School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
  • Received:2025-07-23 Revised:2025-11-03 Published:2025-12-15
  • Contact: Jianjun ZHU E-mail:pengwei@csust.edu.cn;zjj@csu.edu.cn
  • About author:PENG Wei (1989—), male, PhD, associate professor, majors in UAV-based InSAR. E-mail: pengwei@csust.edu.cn
  • Supported by:
    The National Natural Science Fundation of China(42227801);The National Key Research and Development Program of China(2024YFB2605500)

摘要:

无人机载合成孔径雷达干涉测量系统在大型工程沿线变形监测中展现出高机动性、高空间分辨率的显著优势,但其航迹航姿不稳定,易导致重复轨道SAR影像干涉处理困难。本文基于自主研制的X波段固定翼垂起无人机载干涉SAR装备,针对SAR成像和影像配准导致重轨干涉质量差的问题,提出公共航向角拟合SAR成像与分块配准方法,显著提升干涉相干性与形变监测能力。试验结果表明:航迹控制精度优于±2 m,重轨影像均可实现差分干涉;公共航向角拟合SAR成像方法解决了因航迹(空间基线)不平行导致的沿方位向干涉条纹问题,分块配准方法将相干性从0.6提升至0.8以上;影像分辨率为0.18 m×0.18 m,可精准识别两块小尺寸模拟沉降板形变特征,干涉形变测量值与真值差值小于±2.6 mm(均方根误差分别为1.2、1.5 mm),验证了本文方法具有毫米级精度的工程变形监测能力。

关键词: 无人机载SAR, 重复轨道差分干涉, 形变测量, 实地仿真试验

Abstract:

UAV-borne interferometric synthetic aperture radar (InSAR) systems exhibit significant advantages of high mobility and high spatial resolution in deformation monitoring along large-scale engineering projects. However, its instability in flight trajectory and attitude easily leads to difficulties in interferometric processing of repeat-pass SAR images. Based on the independently developed X-band fixed-wing vertical take-off and landing UAV-borne interferometric SAR system, this paper addresses the issues of SAR imaging and image registration that cause poor repeat-pass interferometric quality, and proposes a common heading angle fitting SAR imaging and block-wise registration method, which significantly improves interferometric coherence and deformation monitoring capability. Experimental results show that the trajectory control accuracy is better than ±2 m, enabling differential interferometry for all repeat-pass images; the common heading angle fitting SAR imaging method solves the azimuth interferometric fringe problem caused by non-parallel trajectory (spatial baselines), and the block-wise registration method increases coherence from approximately 0.6 to over 0.8. With an image resolution of 0.18×0.18 m, the deformation characteristics of two small-sized simulated settlement plates can be accurately identified, and the differences between interferometric deformation measurements and true values are less than ±2.6 mm (with root mean square errors of 1.2 mm and 1.5 mm, respectively), verifying that the proposed system and methods in this paper have engineering deformation monitoring capability with millimeter-level accuracy.

Key words: UAV-borne SAR, repeat-pass interferometric, deformation measurement, field-based simulation experiment

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