广东工业大学学报 ›› 2022, Vol. 39 ›› Issue (03): 77-82.doi: 10.12052/gdutxb.210084

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基于双极化时序InSAR技术的地表形变监测

陈佳炜1,2, 吴希文1,2, 王华1, 陈炳杰1   

  1. 1. 广东工业大学 土木与交通工程学院, 广东 广州 510006;
    2. 广东工业大学 大湾区城市环境安全与绿色发展教育部重点实验室, 广东 广州 510006
  • 收稿日期:2021-05-31 出版日期:2022-05-10 发布日期:2022-05-19
  • 通信作者: 吴希文(1983-),男,教授,博士生导师,主要研究方向为InSAR与地表形变监测,E-mail:hayman.ng@foxmail.com
  • 作者简介:陈佳炜(1997-)，男，硕士研究生，主要研究方向为InSAR与地表形变监测
  • 基金资助:
    广东省引进创新创业团队项目(2019ZT08L213)；广东省自然科学基金资助项目(2018A030310538，2021A1515011483)

Surface Deformation Monitoring Based on Dual-polarization Time Series InSAR Technology

Chen Jia-wei1,2, Ng Alex Hay-Man1,2, Wang Hua1, Chen Bing-jie1   

  1. 1. School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China;
    2. Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2021-05-31 Online:2022-05-10 Published:2022-05-19

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摘要： 针对时序干涉测量(Time-series Interferometric Synthetic Aperture Radar，TS-InSAR)技术在相干性较差地区监测结果不佳的问题，从极化数据的角度对传统TS-InSAR方法进行改进。实验选取珠海市高栏港经济区作为研究区域，以47景含有垂直发射垂直接收模式(Vertical transmit and Vertical receive，VV)和垂直发射水平接收模式(Vertical transmit and Horizontal receive，VH)的双极化Sentinel-1A卫星影像作为数据源进行实验，并对实验结果进行验证分析。结果表明：采用双极化数据能够有效提高时序InSAR技术的监测质量；造成该地区沉降的原因是地质条件和填海工程。该研究可为地区沉降监测和防治提供理论依据。

关键词: 时序InSAR, Sentinel-1A, 双极化, 沉降

Abstract: To solve the problem of poor monitoring results generated by time-series Interferometric Synthetic Aperture Radar (TS-InSAR) technology in low coherence areas, the traditional TS-InSAR method is improved from the perspective of polarization data. Taking Zhuhai Gaolan Port Economic Zone as the research subject, the article examines 47 dual-polarized Sentinel-1A satellite images with vertical-transmit-and-vertical-receive mode (VV) and vertical-transmit-and-horizontal-receive mode (VH) to experiment and obtain results and do the validation analysis. Results show that the monitoring quality of the time series InSAR technology can be effectively improved by applying dual-polarization data; and that the subsidence in this area is caused by geological conditions and reclamation projects. This research can provide a theoretical basis for the monitoring and prevention of regional subsidence.

Key words: time-series InSAR, Sentinel-1A, dual-polarization, subsidence

中图分类号: 

  • TU196
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