多时相Sentinel-1A InSAR的连盐高铁沉降监测分析

doi:10.11947/j.AGCS.2021.20200226

测绘学报 ›› 2021, Vol. 50 ›› Issue (5): 600-611.doi: 10.11947/j.AGCS.2021.20200226

多时相Sentinel-1A InSAR的连盐高铁沉降监测分析

何秀凤¹, 高壮¹, 肖儒雅¹, 罗海滨², 冯灿³

1. 河海大学地球科学与工程学院, 江苏南京 211100;
2. 南京信息工程大学遥感与测绘工程学院, 江苏南京 210044;
3. 北方信息控制研究院集团有限公司, 江苏南京 211153

收稿日期:2020-06-11 修回日期:2021-02-05 发布日期:2021-06-03
通讯作者: 高壮 E-mail:zhuanggao@hhu.edu.cn
作者简介:何秀凤(1962-),女,博士,教授,研究方向为卫星导航定位和卫星遥感技术。E-mail:xfhe@hhu.edu.cn
基金资助:
国家自然科学基金（41830110）；国家重点研究发展计划（2018YFC1503603）

Monitoring and analysis of subsidence along Lian-Yan railway using multi-temporal Sentinel-1A InSAR

HE Xiufeng¹, GAO Zhuang¹, XIAO Ruya¹, LUO Haibin², FENG Can³

1. School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China;
2. Nanjing University of Information Science and Technology, Nanjing 210044, China;
3. North Information Control Research Academy Group CO. Ltd., Nanjing 211153, China

Received:2020-06-11 Revised:2021-02-05 Published:2021-06-03
Supported by:
The National Natural Science Foundation of China (No. 41830110);The National Key Research Development Program of China (No. 2018YFC1503603)

摘要/Abstract

摘要： 多时相InSAR技术具有探测大范围毫米级地表形变的能力，已被广泛应用于地面沉降监测。近几年，应用多时相InSAR技术监测以高铁为代表的大尺度人造线状地物形变备受关注。本文将C波段SAR数据用于高铁沿线路基形变监测，应用相位稳定性分析和改进的StaMPS技术来增加相干性点的密度和形变参数解算的稳定性。采用研究区时间跨度为21个月的47景Sentinel-1A数据，对连（云港）盐（城）高铁及其沿线区域进行多时相InSAR分析，并利用同时期连续的北斗导航卫星系统（BeiDou navigation satellite system，BDS）观测数据对线性沉降速率和时序位移分别进行监测分析，进而对比验证二者的沉降监测结果。研究结果表明：利用C波段的Sentinel-1A数据能够获取毫米级的线性形变速率和时序位移序列，InSAR与BDS二者平均时序位移均方根误差为3.8 mm，与BDS监测结果相比取得很好的一致性，且连盐高铁线路整体表现稳定。

关键词: 时序InSAR, 北斗导航卫星系统, 连盐高铁, 沉降监测, Sentinel-1A

Abstract: Multi-temporal interferometry synthetic aperture radar (MT-InSAR) has the capability to monitor deformation with millimeter precision over wide areas. It has been widely applied for the monitoring of land subsidence. In recent years, much attention was paid on monitoring of the subsidence along large-scale man-made linear features represented by high speed railway(HSR) with MT-InSAR. This paper conducts a tentative test for applying C-band SAR data to the deformation monitoring of HSR subgrade, phase stability analysis and improved StaMPS technology were jointly used to increase the point density and stability of deformation parameter solution. In this paper, a total of 47 Sentinel-1A images spanning 21 months were processed for MT-InSAR analysis along Lian-Yan HSR, and the accuracy of linear deformation velocity and time-series deformation were evaluated respectively by the data of continuous BDS (BeiDou navigation satellite system) monitoring station. The results demonstrate that C-band Sentinel-1A data is capable of achieving millimeter accuracy in linear deformation velocity and time-series deformation, the mean root mean square error (RMSE) value of time-series displacement differences between the InSAR and the BDS is 3.8 mm, agreed well with BDS monitoring data, and the overall performance of Lian-Yan HSR is stable.

Key words: multiple-temporal InSAR, BDS, Lian-Yan railway, subsidence monitoring, Sentinel-1A

中图分类号:

P237

何秀凤, 高壮, 肖儒雅, 罗海滨, 冯灿. 多时相Sentinel-1A InSAR的连盐高铁沉降监测分析[J]. 测绘学报, 2021, 50(5): 600-611.

HE Xiufeng, GAO Zhuang, XIAO Ruya, LUO Haibin, FENG Can. Monitoring and analysis of subsidence along Lian-Yan railway using multi-temporal Sentinel-1A InSAR[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(5): 600-611.

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多时相Sentinel-1A InSAR的连盐高铁沉降监测分析

Monitoring and analysis of subsidence along Lian-Yan railway using multi-temporal Sentinel-1A InSAR

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