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

  • External authors:
  • Wouter Van Verre
  • John Davidson
  • Xianyang Gao
  • David Daniels

Standard

Combining Electromagnetic Spectroscopy and Ground-Penetrating Radar for the Detection of Anti-Personnel Landmines. / Marsh, Liam; Van Verre, Wouter; Davidson, John; Gao, Xianyang; Podd, Frank; Daniels, David; Peyton, Anthony.

In: Sensors, Vol. 19, No. 3390, 02.08.2019, p. 1.

Research output: Contribution to journalArticle

Harvard

APA

Vancouver

Author

Marsh, Liam ; Van Verre, Wouter ; Davidson, John ; Gao, Xianyang ; Podd, Frank ; Daniels, David ; Peyton, Anthony. / Combining Electromagnetic Spectroscopy and Ground-Penetrating Radar for the Detection of Anti-Personnel Landmines. In: Sensors. 2019 ; Vol. 19, No. 3390. pp. 1.

Bibtex

@article{d7a93f1638b24c34af2b3f1500e4f068,
title = "Combining Electromagnetic Spectroscopy and Ground-Penetrating Radar for the Detection of Anti-Personnel Landmines",
abstract = "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.",
keywords = "electromagnetic induction, magnetic spectroscopy, ground-penetrating radar, multi-modal sensing, landmine detection, explosive remnants of war, metal characterisation",
author = "Liam Marsh and {Van Verre}, Wouter and John Davidson and Xianyang Gao and Frank Podd and David Daniels and Anthony Peyton",
year = "2019",
month = "8",
day = "2",
doi = "10.3390/s19153390",
language = "English",
volume = "19",
pages = "1",
journal = "Sensors",
issn = "1424-8220",
publisher = "M D P I AG",
number = "3390",

}

RIS

TY - JOUR

T1 - Combining Electromagnetic Spectroscopy and Ground-Penetrating Radar for the Detection of Anti-Personnel Landmines

AU - Marsh, Liam

AU - Van Verre, Wouter

AU - Davidson, John

AU - Gao, Xianyang

AU - Podd, Frank

AU - Daniels, David

AU - Peyton, Anthony

PY - 2019/8/2

Y1 - 2019/8/2

N2 - 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.

AB - 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.

KW - electromagnetic induction

KW - magnetic spectroscopy

KW - ground-penetrating radar

KW - multi-modal sensing

KW - landmine detection

KW - explosive remnants of war

KW - metal characterisation

U2 - 10.3390/s19153390

DO - 10.3390/s19153390

M3 - Article

VL - 19

SP - 1

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 3390

ER -