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This paper presents a micro-motion (m-m) technique for extracting the time histories of velocity from single pass Synthetic Aperture Radar (SAR) images, enabling remote vibration-based Structural Health Monitoring (SHM). The technique uses the m-m principle to capture the motion of vibrating reflective targets. The methodology is applied to SAR data of a suspension bridge, and the extracted velocities are compared to synchronous in-situ measurements from an installed monitoring system. Experimental validation demonstrates that single-pass SAR can measure vibration-related information of bridges down to velocities of 0.001 m/s.

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Vibration-Based Structural Health Monitoring from single-pass SAR images

  • 会议论文

  • 发表日期：

    2025年

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  • Alessandro Lotti,
  • Aleksanteri Vattulainen,
  • Sebastian Diaz Riofrio,
  • Chiara Suppi,
  • Daniel Tonelli,
  • Finlay Rollo,
  • Christos Ilioudis,
  • Pietro Milillo,
  • Enrico Tubaldi,
  • Carmine Clemente,
  • Daniele Zonta

摘要

This paper presents a micro-motion (m-m) technique for extracting the time histories of velocity from single pass Synthetic Aperture Radar (SAR) images, enabling remote vibration-based Structural Health Monitoring (SHM). The technique uses the m-m principle to capture the motion of vibrating reflective targets. The methodology is applied to SAR data of a suspension bridge, and the extracted velocities are compared to synchronous in-situ measurements from an installed monitoring system. Experimental validation demonstrates that single-pass SAR can measure vibration-related information of bridges down to velocities of 0.001 m/s.