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Comprehensive time-series analysis of bridge deformation using differential satellite radar interferometry based on Sentinel-1
ISPRS Journal of Photogrammetry and Remote Sensing ( IF 10.6 ) Pub Date : 2020-12-30 , DOI: 10.1016/j.isprsjprs.2020.12.001
Matthias Schlögl , Barbara Widhalm , Michael Avian

We present a comprehensive methodological framework for structural deformation monitoring of critical infrastructure assets based on differential SAR interferometry. By employing persistent scatterer interferometry, deformation time series in line-of-sight are derived from freely available Sentinel-1 single look complex products. These raw time series are analysed and refined using an extensive post-processing chain to obtain daily rates for vertical and horizontal deformation components. The post-processing includes cleaning, smoothing and a temperature correction to account for different sensing times in ascending and descending orbits. Longitudinal clustering of time series is used to reveal spatial patterns in the single epoch deformation series. Seasonal trend decomposition of the aggregated time series is performed to separate deformation trends from seasonal deformations. The applicability of the framework is showcased at the example of an integral concrete bridge located in the port of Vienna. Results are validated against in situ deformation measurements. The presented framework constitutes a blueprint for the continuous monitoring of critical infrastructure assets using satellite interferometry, which may supplement conventional structural health monitoring.



中文翻译:

基于Sentinel-1的差分卫星雷达干涉法对桥梁变形进行时间序列综合分析

我们提出了一种基于差分SAR干涉法的关键基础设施资产结构变形监测的综合方法框架。通过采用持久散射体干涉测量法,可以从免费提供的Sentinel-1单外观复杂产品中得出视线范围内的变形时间序列。使用大量的后处理链对这些原始时间序列进行分析和完善,以获取垂直和水平变形分量的每日速率。后处理包括清洁,平滑和温度校正,以考虑上升和下降轨道中的不同感应时间。时间序列的纵向聚类用于揭示单个时期变形序列中的空间格局。执行汇总时间序列的季节性趋势分解,以将变形趋势与季节性变形分开。该框架的适用性以位于维也纳港的整体混凝土桥梁为例进行了展示。结果针对现场变形测量进行了验证。提出的框架构成了使用卫星干涉测量法连续监测关键基础设施资产的蓝图,这可以补充常规的结构健康监测。

更新日期:2020-12-30
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