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Comparison of Imaging Radar Configurations for Roadway Inspection and Characterization.

Mengda Wu1,2, Laurent Ferro-Famil2,3, Frederic Boutet1

  • 1IETR (Institut d'Électronique et des Technologies du numéRique), UMR CNRS 6164, University of Rennes, 35000 Rennes, France.

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|October 28, 2023
PubMed
Summary

Radar imaging effectively detects shallow underground roadway defects. A new forward-scattering tomographic approach shows great potential for characterizing pavement properties and identifying subtle flaws missed by traditional methods.

Keywords:
artificial defectsback scatteringbistatic radarforward scatteringground-based SAR (GB-SAR)ground-penetrating radar (GPR)roadwayssynthetic aperture radar (SAR)tomographic SAR (TomoSAR)

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Area of Science:

  • Geophysics
  • Civil Engineering
  • Electromagnetics

Background:

  • Roadway integrity is crucial for infrastructure safety and longevity.
  • Traditional inspection methods struggle to detect shallow subsurface defects.
  • Radar imaging offers a non-destructive approach for pavement assessment.

Purpose of the Study:

  • To evaluate various radar imaging modes for roadway inspection.
  • To assess the capability of discriminating and localizing shallow underground defects.
  • To estimate geophysical parameters like roughness and dielectric permittivity.

Main Methods:

  • Investigated nadir-looking B-scan and side-looking synthetic aperture radar tomographic acquisitions.
  • Utilized both back- and forward-scattering geometries.
  • Conducted campaign measurements using C and X band stepped-frequency continuous-waveform (SFCW) radar devices.

Main Results:

  • The forward-scattering tomographic configuration demonstrated significant potential for detecting slight defects.
  • Radar imaging successfully characterized roadways and estimated geophysical parameters.
  • Advanced techniques, including coherent integration and forward-looking bistatic geometry, detected anomalies missed by classical B-scan.

Conclusions:

  • Radar imaging techniques are effective for roadway inspection and characterization.
  • The proposed forward-scattering tomographic configuration offers enhanced defect detection capabilities.
  • Further research can refine radar methods for comprehensive pavement health monitoring.