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Characterization of the Internal Structure of Landmines Using Ground-Penetrating Radar

Lombardi, F; Griffiths, HD; Lualdi, M; Balleri, A; (2020) Characterization of the Internal Structure of Landmines Using Ground-Penetrating Radar. IEEE Geoscience and Remote Sensing Letters pp. 1-5. 10.1109/lgrs.2020.2970249. (In press). Green open access

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Abstract

One of the principal limitations of employing a ground-penetrating radar (GPR) for landmine detection is the presence of clutter, i.e., reflections from the surrounding environment, which might interfere with the landmine echoes. Clutter presents similar scattering characteristics as typical targets and may significantly raise the detection threshold of the system. The capability to characterize the internal structure of a buried target might provide key unique information to develop advanced landmine-clutter discrimination algorithms, considering that the presence of internal scattering components can be univocally associated with man-made targets. In this letter, the possibility of identifying and characterizing these contributions from the GPR signature of a landmine is numerically assessed and experimentally validated. The simulated response from a landmine-like target shows that the presence of an internal structure generates additional reflection peaks, as a consequence of the layered structure of the object, and the field trials corroborate that it is possible to identify these scattering components and delineate their spatial distribution.

Type: Article
Title: Characterization of the Internal Structure of Landmines Using Ground-Penetrating Radar
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/lgrs.2020.2970249
Publisher version: https://doi.org/10.1109/lgrs.2020.2970249
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Landmine detection, Ground penetrating radar,Scattering, Radar cross-sections, Clutter, Numerical models
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10092315
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