Interferometric SAR (InSAR) analysis is an effective method for detecting and monitoring ground deformation. As the resolution of SAR imagery has significantly improved, it has a great potential to be applied to the long term monitoring of infrastructures and facilities in an engineering scale. However, most of current InSAR algorithms were designed for large-scale or regional observations. They may be not adequate for directly applying to the monitoring and accurate measurement of the subsidence and deformation of small-scale objects, such as bridges, high-speed rails, highways and buildings. This study will improve InSAR algorithms and develop and a systematic approach for monitoring infrastructure objects using time-series space-borne SAR data. The primary research concentrations will be placed on: (1) spatial accuracy improvement of persistent scatterers localization (orthorectification); (2) three dimensional deformation and displacement measurement using Differential InSAR analysis; and (3) integration and improvement of Small Baseline SAR Interferometry. The outcome of this study will not only improve the accuracy and performance of multi-temporal DInSAR analyses, but also provide a relatively economic alternative for the long-term monitoring of infrastructures, such as bridges, high-speed rails, highways, tunnels, dams and important buildings.
|Effective start/end date||1/08/19 → 31/07/20|
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
- Synthetic Aperture Radar
- Small Baseline InSAR
- Infrastructure Monitoring
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