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<p>Satellite-based data have been extensively utilized to estimate ground deformation and assess civil infrastructure over large spatial scales. This study explored the performance of PS-InSAR (PSI) and Compressed SAR (ComSAR) techniques for monitoring subgrade settlement along the Honam high-speed railway in South Korea. A total of 28 TerraSAR-X time-series images acquired between 2016 and 2018 were processed to estimate the displacement profiles. PSI involves identifying amplitude- and phase-stable scatterers, whereas ComSAR applies a ministack compression strategy to improve the computational efficiency and measurement density. Ground survey data provided reference values to validate both methods. The results demonstrated that PSI performed reliably in regions dominated by persistent scatterers (PS) but exhibited sparse measurements and systematic overestimation in distributed scatterer (DS) environments. In contrast, ComSAR generated over three times more measurement points and achieved a higher correlation with ground survey observations, while reducing processing time by over 70% compared with persistent scatterer-distributed scatterer (PSDS) approaches. In particular, PSDS analysis required 260&#xa0;h, whereas the application of ComSAR reduced this time to 70&#xa0;h. Despite residual errors, ComSAR showed strong potential for enhancing large-scale infrastructure monitoring in DS-dominant areas. The findings highlight the importance of integrating advanced InSAR methods to improve deformation assessment in transportation geotechnics applications.</p>

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Application of satellite for geotechnical monitoring of high-speed railway subgrade settlement: a comparative study of PS-InSAR and ComSAR

  • 期刊论文

  • 发表日期：

    2026年7月14日

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  • Byung-Kyu Kim,
  • Ilwha Lee,
  • Winter Kim,
  • Sang Yeob Kim

摘要

Satellite-based data have been extensively utilized to estimate ground deformation and assess civil infrastructure over large spatial scales. This study explored the performance of PS-InSAR (PSI) and Compressed SAR (ComSAR) techniques for monitoring subgrade settlement along the Honam high-speed railway in South Korea. A total of 28 TerraSAR-X time-series images acquired between 2016 and 2018 were processed to estimate the displacement profiles. PSI involves identifying amplitude- and phase-stable scatterers, whereas ComSAR applies a ministack compression strategy to improve the computational efficiency and measurement density. Ground survey data provided reference values to validate both methods. The results demonstrated that PSI performed reliably in regions dominated by persistent scatterers (PS) but exhibited sparse measurements and systematic overestimation in distributed scatterer (DS) environments. In contrast, ComSAR generated over three times more measurement points and achieved a higher correlation with ground survey observations, while reducing processing time by over 70% compared with persistent scatterer-distributed scatterer (PSDS) approaches. In particular, PSDS analysis required 260 h, whereas the application of ComSAR reduced this time to 70 h. Despite residual errors, ComSAR showed strong potential for enhancing large-scale infrastructure monitoring in DS-dominant areas. The findings highlight the importance of integrating advanced InSAR methods to improve deformation assessment in transportation geotechnics applications.