Three-Dimensional Deformation Monitoring and Structural Risk Assessment of Bridges by Integrating Observations from Multiple SAR Sensors

Abstract

The primary bottlenecks that hinder the widespread application of Differential Synthetic Aperture Radar Interferometry (DInSAR) technique for bridge monitoring are the difficulties in reverting three-dimensional (3D) deformation of these complex structures and achieving detailed structural risk assessment for end users. To address these challenges, we developed an improved time series InSAR analysis approach that can retrieve 3D deformation of bridges and enable a detailed structural risk assessment. The proposed strategy effectively integrates the observations from multiple SAR sensors to reveal the 3D deformation. Moreover, the selected point-like targets (PTs) are classified and linked to specific bridge features based on their temporal deformation models to make a detailed structural risk assessment. Our results demonstrate the effectiveness of integrating observations from multiple SAR sensors in studying bridge 3D deformation and investigating the structural risk.