首页> 外文期刊>Remote Sensing >Damage Detection and Analysis of Urban Bridges Using Terrestrial Laser Scanning (TLS), Ground-Based Microwave Interferometry, and Permanent Scatterer Interferometry Synthetic Aperture Radar (PS-InSAR)
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Damage Detection and Analysis of Urban Bridges Using Terrestrial Laser Scanning (TLS), Ground-Based Microwave Interferometry, and Permanent Scatterer Interferometry Synthetic Aperture Radar (PS-InSAR)

机译:使用地面激光扫描(TLS),地基微波干涉法和永久散射体干涉法合成孔径雷达(PS-InSAR)对城市桥梁进行损伤检测和分析

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This paper presents a practical framework for urban bridge damage detection and analysis by using three key techniques: terrestrial laser scanning (TLS), ground-based microwave interferometry, and permanent scatterer interferometry synthetic aperture radar (PS-InSAR). The proposed framework was tested on the Beishatan Bridge in Beijing, China. Firstly, a Digital Surface Model (DSM) of the lower surface of the bridge was constructed based on the point cloud generated by using TLS to obtain the potential damage area. Secondly, the dynamic time-series displacement of the potential damage area was acquired by ground-based microwave interferometry, and the Extreme-Point Symmetric Mode Decomposition (ESMD) method was applied to detect damages by the use of signal decomposition and instantaneous frequency calculation. Lastly, the PS-InSAR technique was applied to obtain the surface deformation around Beishatan Bridge by using COSMO-SkyMed images with a ground resolution of 3 m × 3 m, and finally, we analyzed the causes of bridge damage. The experimental results showed that the proposed framework can effectively obtain the potential damage area of the bridge by the DSM from the point cloud by TLS and further judge whether the bridge was damaged by the ESMD method, based on the time-series displacement data. The results also showed that the subway shield construction may be the reason for damage to Beishatan Bridge.
机译:本文通过使用三种关键技术为地面桥梁损伤检测和分析提供了一个实用的框架:地面激光扫描(TLS),地面微波干涉法和永久散射体干涉法合成孔径雷达(PS-InSAR)。该框架在中国北京的北沙潭大桥上进行了测试。首先,基于使用TLS生成的点云,构造桥梁下表面的数字表面模型(DSM),以获得潜在的破坏区域。其次,通过地面微波干涉法获得了潜在破坏区域的动态时间序列位移,并通过信号分解和瞬时频率计算,采用极点对称模式分解(ESMD)方法来检测破坏。最后,利用地面分辨率为3 m×3 m的COSMO-SkyMed图像,采用PS-InSAR技术获得北沙滩大桥周围的表面变形,最后,分析了桥梁损坏的原因。实验结果表明,所提出的框架可以有效地利用TLS从点云中获得DSM对桥梁的潜在破坏面积,并根据时间序列位移数据进一步判断桥梁是否被ESMD方法破坏。结果还表明,地铁盾构施工可能是造成北沙滩大桥损坏的原因。

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