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Satellite Radar Data Analysis for Change Detection of Rural and Urban Railways
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2025-01-31
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Edition:Project Report June 1, 2023 – August 31, 2024
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Abstract:Changes in vertical and horizontal alignment of railways impact service continuity, efficacy and safety of operations and may lead to cascading failures if go undetected. Conventional methods (e.g. GPS, surveying, dedicated inspection and measurement vehicles) are expensive, disrupt operations, do not provide network-wide monitoring and, typically do not monitor the rate of change over time and, thus, are not predictive by themselves. This work implements satellite radar image processing techniques for the intelligent monitoring of railway right of way and enable the change detection at critical areas, such as bridge approaches, grade crossings, or other areas with a history of geotechnical failures along the track. The proposed approach employs Differential Interferometric Synthetic Aperture Radar (DInSAR), Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR), and Coherence Change Detection (CCD) methodologies in radar signal processing. The proposed technology applies to (1) network-wide real-time monitoring and detection, (2) on-demand real-time monitoring of high-risk areas, and (3) accident investigation.
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[PDF-1.60 MB]
