A novel geo-statistical approach for transport infrastructure network monitoring by persistent scatterer interferometry (PSI)

Gagliardi, Valerio, Bianchini Ciampoli, Luca, D'Amico, Fabrizio, Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937, Alani, Amir and Benedetto, Andrea (2020) A novel geo-statistical approach for transport infrastructure network monitoring by persistent scatterer interferometry (PSI). In: IEEE Radar Conference 2020, 21-25 September 2020, Florence, Italy. (In Press)

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Abstract

Persistent Scatterer Interferometry (PSI) is an Interferometric Synthetic Aperture Radar (InSAR) technique based on a multi-temporal interferogram analysis of SAR images. The aim of the technique is to extract long-term high phase stability benchmarks of coherent point targets, namely Persistent Scatterers (PS). In the last decades, several approaches have been developed to obtain PSI point targets, proving their viability for applications to transport infrastructure monitoring and surveillance. However, SAR satellites can only detect displacements in the Line-of-Sight (LoS), with reference to the specific orbit-related incident angle. This work proposes a novel geo-statistical approach to ease post-processing of large datasets of PSs resulting from the application of the PSI algorithms over an area of interest. The approach aims at correcting the component of the displacement collected from the acquisition geometry of the sensor.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Persistent Scatterers Interferometry (PSI), Transport Infrastructure Maintenance, Acquisition geometry, geo-statistical approach, Line of Sight (LoS)
Subjects: Construction and engineering > Civil and environmental engineering
Construction and engineering > Digital signal processing
Construction and engineering > Electrical and electronic engineering
Construction and engineering > Civil and structural engineering
Construction and engineering
Related URLs:
Depositing User: Fabio Tosti
Date Deposited: 08 Jul 2020 17:14
Last Modified: 10 Jul 2020 16:58
URI: http://repository.uwl.ac.uk/id/eprint/7170

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