Environmental Influences on the Detection of Buried Objects with a Ground-Penetrating Radar

Author:

Arendt Bernd1ORCID,Schneider Michael1ORCID,Mayer Winfried2ORCID,Walter Thomas1ORCID

Affiliation:

1. Laboratory of Microtechnology, Institute of Mechatronics and Medical Engineering, University of Applied Science Ulm, 89081 Ulm, Germany

2. FindMine gGmbH, 89257 Illertissen, Germany

Abstract

A tremendous number of landmines has been buried during the last decade. In recent years, various autonomous platforms equipped with ground-penetrating radars (GPRs) have been proposed for the detection of landmines. These systems have already demonstrated their performance in controlled environments with known ground truth. However, it has been observed that the influence of surface conditions in the form of vegetation and roughness as well as soil moisture content significantly reduce the detection probability. The influence of these individual factors on a ground-offset GPR is presented and discussed in this work. Each of these factors significantly degrades the backscattered signal. With increasing soil moisture, the signal gets attenuated more strongly; however, the signature is maintained in the phase of the C-Scans. An increase in surface roughness deteriorates the target pattern making it difficult to detect buried objects unambiguously. Vegetation, especially with irregular leaf structures, can appear as a ghost target and scatter the electromagnetic waves. In most cases, the target is easier to detect in the phase of the B- or C-Scan.

Funder

URS ENDRESS Foundation

Publisher

MDPI AG

Reference34 articles.

1. Sherwin, M. (2022). Landmine Monitor 2022: Landmine Monitor 24th Annual Edition, Landmine and Cluster Munition Monitor ICBL-CMC. Available online: https://www.the-monitor.org/en-gb/reports/2022/landmine-monitor-2022.aspx.

2. Schartel, M., Burr, R., Bähnemann, R., Mayer, W., and Waldschmidt, C. (2020). An Experimental Study on Airborne Landmine Detection Using a Circular Synthetic Aperture Radar. arXiv.

3. Array-Based Ground Penetrating Synthetic Aperture Radar on Board an Unmanned Aerial Vehicle for Enhanced Buried Threats Detection;IEEE Trans. Geosci. Remote Sens.,2023

4. Garcia-Fernandez, M., Alvarez-Narciandi, G., Lopez, Y.A., and Andres, F.L.H. (April, January 27). SAFEDRONE project: Development of a UAV-based high-resolution GPR system for IED detection. Proceedings of the 2022 16th European Conference on Antennas and Propagation (EuCAP), Madrid, Spain.

5. Ground Surface Reflection Compensation for Hand-Held GPR;Kondo;IEEE Geosci. Remote Sens. Lett.,2022

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