Research on Airborne Ground-Penetrating Radar Imaging Technology in Complex Terrain

The integration of ground-penetrating radar (GPR) with unmanned aerial vehicles (UAVs) enables efficient non-contact detection, performing exceptionally well in complex terrains and extreme environments. However, challenges in data processing and interpretation remain significant obstacles to fully utilizing this technology. To mitigate the effects of numerical dispersion, this paper develops a high-order finite-difference time-domain (FDTD(2,4)) three-dimensional code suitable for airborne GPR numerical simulations. The simulation results are compared with traditional FDTD methods, validating the accuracy of the proposed approach. Additionally, a Kirchhoff migration algorithm that considers the influence of the air layer is developed for airborne GPR. Different processing strategies are applied to flat and undulating terrain models, significantly improving the identification of shallowly buried targets. Particularly under undulating terrain conditions, the energy ratio method is introduced, effectively suppressing the interference of surface reflections caused by terrain variations. This innovative approach offers a new technical pathway for efficient GPR data processing in complex terrains. The study provides new insights and methods for the practical application of airborne GPR.

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Publication Details

Journal
Remote Sensing
Published
2024-11-08
DOI
https://doi.org/10.3390/rs16224174
Citations
6
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
2.01

Funders

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article

Research on Airborne Ground-Penetrating Radar Imaging Technology in Complex Terrain

Qinghe Zhou, Su Pang, Lifeng Mao, Yuelong Chi et al.
6 citations
Remote Sensing
Geophysical Methods and Applications
2.01
article

Research on Airborne Ground-Penetrating Radar Imaging Technology in Complex Terrain

Qinghe Zhou, Su Pang, Lifeng Mao, Yuelong Chi, Ya-Shin Chi
article en
6 citations

Abstract

The integration of ground-penetrating radar (GPR) with unmanned aerial vehicles (UAVs) enables efficient non-contact detection, performing exceptionally well in complex terrains and extreme environments. However, challenges in data processing and interpretation remain significant obstacles to fully utilizing this technology. To mitigate the effects of numerical dispersion, this paper develops a high-order finite-difference time-domain (FDTD(2,4)) three-dimensional code suitable for airborne GPR numerical simulations. The simulation results are compared with traditional FDTD methods, validating the accuracy of the proposed approach. Additionally, a Kirchhoff migration algorithm that considers the influence of the air layer is developed for airborne GPR. Different processing strategies are applied to flat and undulating terrain models, significantly improving the identification of shallowly buried targets. Particularly under undulating terrain conditions, the energy ratio method is introduced, effectively suppressing the interference of surface reflections caused by terrain variations. This innovative approach offers a new technical pathway for efficient GPR data processing in complex terrains. The study provides new insights and methods for the practical application of airborne GPR.

Remote SensingVol. 16(22)
Southwest University (CN), Chengdu University of Technology (CN), The Engineering & Technical College of Chengdu University of Technology, The University of Adelaide (AU)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 14%
Geophysical Methods and Applications
2.01
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