A study into the integration of AR-based data collection and multi-dimensional signal processing methods for GB-SAR target detection

Sotoudeh, Saeed; Benedetto, Francesco; Uzor, Stephen; Lantini, Livia; Munisami, Kevin; Tosti, Fabio

doi:10.1117/12.3007430

Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023) 2023

DOI: 10.1117/12.3007430

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A study into the integration of AR-based data collection and multi-dimensional signal processing methods for GB-SAR target detection

Saeed Sotoudeh,

Francesco Benedetto,

Stephen Uzor

et al.

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2024

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Monitoring double-track railway masonry bridge piers using ground-based interferometric radar and augmented reality

Sotoudeh,

Tessema,

Uzor

et al. 2024

Earth Resources and Environmental Remote Sensing/Gis Applications XV

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Masonry bridges are heritage assets still mostly under service. Ensuring safety and continuous operations of these structures requires robust structural health monitoring (SHM) programs and methods for continuous and fast data collection. Remote sensing, specifically the ground-based interferometric radar (GBIR) has proven viable in monitoring bridge structures. The GBIR system is a highly regarded electromagnetic method in SHM due to its non-invasiveness and the possibility to provide collection of high accurate data in static and dynamic mode. However, system measurement control to understand signal propagation patterns against target position is needed to increase accuracy and significance. Piers are the supporting system of bridge structures, and they define their boundary conditions. They directly affect the structures vibration and natural frequency. In this paper, the dynamic behaviour of a double track railway masonry bridge pier was investigated through the integration between GBIR and augmented reality (AR). The viability of an AR-based interactive user interface for GBIR measurements developed in previous scoping studies was here tested for system measurement control on a real-life structure. Data were analysed using signal processing techniques for feature extraction. Results have proven the viability of integrating AR into GBIR monitoring of bridge structures for real-time monitoring.

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Monitoring double-track railway masonry bridge piers using ground-based interferometric radar and augmented reality

Sotoudeh,

Tessema,

Uzor

et al. 2024

Earth Resources and Environmental Remote Sensing/Gis Applications XV

View full text Add to dashboard Cite

show abstract

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A study into the integration of AR-based data collection and multi-dimensional signal processing methods for GB-SAR target detection

Cited by 1 publication

References 24 publications

Monitoring double-track railway masonry bridge piers using ground-based interferometric radar and augmented reality

Monitoring double-track railway masonry bridge piers using ground-based interferometric radar and augmented reality

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