Abstract
Railway infrastructure maintenance faces a challenge posed by the laborious task of monitoring widespread deformation, which is critical for ensuring safety. This study utilized the Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) technique with high-resolution TerraSAR-X satellite images to measure and analyze deformation at the operating track. Tailored through parameter optimization to fit regional topography and validated against field measurements, PS-InSAR was applied across a 30km by 50km area over two years. The analysis demonstrated that PS-InSAR could efficiently generate high-accuracy time-series data, capable of detecting both the uplift and subsidence processes. It highlighted the importance of augmenting single-point subsidence values with comprehensive time-series analysis for a complete deformation assessment. The study concluded that PS-InSAR is an accurate and cost-effective tool for large-scale linear infrastructure monitoring, despite technological constraints such as radar imaging frequency and the lack of high-resolution sources. Consideringthese constraints, future research will prioritize developing an enhanced algorithm capable of analyzing both urban and suburban areas, accommodating varying numbers of point scatterers.
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Acknowledgments
This study supported by the Korea Railroad Research Institute through the “Development of Technology for cognizing, predicting and responding to high-risk disasters for deep railway (MT23015B), for which we express our deep appreciation.
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Kim, BK., Kim, W., Lee, C. et al. Validating Railway Infrastructure Deformation Monitoring: A Comparative Analysis of Field Data and TerraSAR-X PS-InSAR Results. KSCE J Civ Eng 28, 1777–1786 (2024). https://doi.org/10.1007/s12205-024-1676-1
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DOI: https://doi.org/10.1007/s12205-024-1676-1