A Comparison of Solid and Loaded Bowtie Antennas in GPR for the Detection of Buried Landmines

Verre, Wouter van; Podd, Frank; Tan, Yee Mei; Gao, Xianyang; Peyton, Anthony

doi:10.1109/icgpr.2018.8441605

Cited by 3 publications

(2 citation statements)

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“…GPR has been proposed as an alternative to classical electromagnetic induction techniques for landmine detection due to a number of advantages, the principal one being the ability to detect landmines with little or no metal content, as long as there is a difference in the electromagnetic contrast between the ground and the target [120,143,144]. In addition, advanced imaging algorithms and data post-processing has allowed not only the localization of the target but also the extraction of valuable features that can pave the way for target recognition and identification [145][146][147][148][149]. However, standalone GPR platforms for antipersonnel landmine detection are less common than their metal detector counterparts, a situation possibly related to the fact that GPR signal interpretation remains a complex task and that the mentioned benefits are often balanced by its susceptibility to clutter [150].…”

Section: Gpr Applications In Forensic and Securitymentioning

confidence: 99%

From Its Core to the Niche: Insights from GPR Applications

2022

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Thanks to its non-destructive, high-resolution imaging possibilities and its sensitivity to both conductive and dielectric subsurface structures, Ground-Penetrating Radar (GPR) has become a widely recognized near-surface geophysical tool, routinely adopted in a wide variety of disciplines. Since its first development almost 100 years ago, the domain in which the methodology has been successfully deployed has significantly expanded from ice sounding and environmental studies to precision agriculture and infrastructure monitoring. While such expansion has been clearly supported by the evolution of technology and electronics, the operating principles have always secured GPR a predominant position among alternative inspection approaches. The aim of this contribution is to provide a large-scale survey of the current areas where GPR has emerged as a valuable prospection methodology, highlighting the reasons for such prominence and, at the same time, to suggest where and how it could be enhanced even more.

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Section: Gpr Applications In Forensic and Securitymentioning

confidence: 99%

From Its Core to the Niche: Insights from GPR Applications

2022

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“…Ultra Wideband (UWB) GPR is a technology that has been developed for use in both humanitarian and military demining operations [16,34], and is generally considered to have the most potential amongst emerging detection technologies [8]. Daniels [34] gave an overview of existing GPR systems for landmine detection, including hand-held, vehicle based and airborne systems; the underlying mathematical models for soil and reflection loss have also been described in our previous work [35]. GPR technology has demonstrated that it is capable of detecting AP landmines but has not yet reached the stage where it can recognise and identify specific AP mine targets.…”

Section: System Overviewmentioning

confidence: 99%

Combining Electromagnetic Spectroscopy and Ground-Penetrating Radar for the Detection of Anti-Personnel Landmines

Marsh

Verre

Davidson

et al. 2019

Sensors

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Dual mode detectors combining metal detection and ground-penetrating radar are increasingly being used during humanitarian demining operations because of their ability to discriminate metal clutter. There are many reports in the academic literature studying metal detector and ground-penetrating radar systems individually. However, the combination of these techniques has received much less attention. This paper describes the development of a novel dual modality landmine detector, which integrates spectroscopic metal detection with ground-penetrating radar. This paper presents a feature-level sensor fusion strategy based on three features extracted from the two sensors. This paper shows how the data from the two components can be fused together to enrich the feedback to the operator. The algorithms presented in this paper are targeted at automating the location of buried, visibly obscured objects; however, the system described is also capable of collecting information which could also be used for the potential classification of such items.

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