Sadeghi, Z., Wright, T. orcid.org/0000-0001-8338-5935, Hooper, A. et al. (1 more author) (2023) Using Ray Tracing to Improve Bridge Monitoring With High-Resolution SAR Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. ISSN 1939-1404
Abstract
While satellite Persistent Scatterer SAR Interferometry (PSI) is an effective technique to monitor the health of structures via selection of long-term coherent pixels, detailed interpretation of displacement measurements requires knowledge of which surfaces, the reflection is coming from. Ray tracing algorithms can be used to simulate SAR backscatter for structures, and link observed PS pixels to specific parts of structures. We investigate the reflectivity of three bridges in London for a high-resolution TerraSAR-X dataset, using a ray tracing technique. Artificial reflectors are mounted on one of the bridges. We compare the simulated backscatter with the location of points selected as PS pixels using a stack of 38 TerraSAR-X images. The results confirm that we can predict overall scattering behaviour of a bridge using SAR simulation techniques when we have access to a 3D model of the structure. However, the results of simulation depend on the level of details in the 3D model and a high-detailed 3D model including corner reflectors allows the ray tracing technique to perfectly simulate position of the strong scatterers. This approach can help designers increase the SAR reflectivity of a bridge in the design phase of structural bridge assets, or in a retrofit phase, by installing artificial reflectors. We also link the strong scatterers in the reflectivity map to the corresponding scattering surfaces in the structural model that contributed to the signal. This allows the end-users of the InSAR products to better understand which sections of a bridge are moving when a PS pixel indicates displacement.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This item is protected by copyright. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. |
Keywords: | Bridge Health Monitoring, PSInSAR, Ray tracing |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst of Geophysics and Tectonics (IGT) (Leeds) |
Funding Information: | Funder Grant number University of Cambridge Not Known NERC (Natural Environment Research Council) GA/13M/031 NERC (Natural Environment Research Council) NE/S016163/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 Dec 2023 14:18 |
Last Modified: | 01 Dec 2023 14:18 |
Status: | Published online |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Identification Number: | 10.1109/jstars.2023.3335284 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:206101 |