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基于哨兵双极化数据的城市地表形变监测方法

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为提升传统时序InSAR在城市区域的地表形变监测结果,探究双极化数据在城市变形监测中的优势,本文基于双极化Sentinel-1 数据,利用时序合成孔径干涉雷达技术(time-series interferometric synthetic aperture radar,TS-In-SAR)和极化时序InSAR技术(polarimetric persistent scatterer interferometry,PolPSI)对上海市主要城市区域进行了地表形变监测研究,并进一步对影响PolPSI技术优化效果的因素进行了分析.结果表明:采用极化优化技术对Sentinel-1双极化数据进行干涉图优化后,干涉图相位质量和像元相干性都能得到明显提升,高质量像元数量大量增加;通过对比 26 幅优化前后干涉图,干涉图相位标准差由未优化前的 0.607 降低至优化后的 0.518,相位质量得到明显的提升;使用双极化数据较单极化数据获得的研究区域监测点密度提升 63%,能反映更丰富的地表形变细节,为解决相干性较差区域PS监测点过少问题提供了一种新的解决思路.
Urban Surface Deformation Monitoring Method Based on Sentinel Dual-polarization Data
In order to enhance the accuracy of surface deformation monitoring in urban areas using traditional time-series InSAR and to investigate the advantages of utilizing dual-polarization data in urban deformation monitoring,this study is based on dual-polarization Sentinel-1 data.Time-series interferometric synthetic aperture radar(TS-InSAR)and polarimetric time-series InSAR(PolPSI)were utilized to mo-nitor surface deformation in the primary urban region of Shanghai.Furthermore,the factors influencing the optimization effect of PolPSI tech-nology are analyzed.The results show that the interferogram phase quality and pixel coherence of Sentinel-1 dual-polarization data can be significantly improved by utilizing polarization optimization technology,and the number of high-quality pixels can be greatly increased.By comparing 26 interferograms before and after optimization,the phase standard deviation of interferograms decreases from 0.607 before optimi-zation to 0.518 after optimization,and the phase quality is obviously improved.The density of monitoring points in the study area,obtained u-sing dual-polarization data,is 63%higher than that obtained with single-polarization data.Having more monitoring points can capture a ric-her array of surface deformation details,offering a new solution to the issue of inadequate PS monitoring points in areas with low coherence.

deformation monitoringSentinel-1dual polarizationpolarimetric time-series InSAR

陈聪、董燕

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昆明理工大学 国土资源工程学院,云南 昆明 650093

形变监测 Sentinel-1 双极化 极化时序InSAR技术

2024

城市勘测
中国城市规划协会 武汉市测绘研究院

城市勘测

影响因子:0.488
ISSN:1672-8262
年,卷(期):2024.(5)