Ultra-wideband 3D image processing for improving landmine detection with GPR

Authors

DOI:

https://doi.org/10.26636/jtit.2005.2.314

Keywords:

ground penetrating radar, image processing, object detection, classification, clutter removal

Abstract

This paper describes a new landmine detection algorithm starting from high resolution 3D ground penetrating radar (GPR) images. The algorithm consists of two procedures, object detection and object classification; both strongly depend on the properties of 3D GPR images. The algorithm has been tested on data measured with an ultrawideband (UWB) video impulse radar (VIR) system developed by the International Research Centre for Telecommunications and Radar (IRCTR). It was found that the algorithm is able to detect all landmines (including difficult to detect M14 mines) and classifies almost all landmines correctly with a large reduction in the number of false alarms caused by clutter. It turns out that for clutter removal it is most effective to eliminate detected objects with a small height.

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References

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Submitted

2023-04-09

Published

2005-06-30

Issue

No. 2 (2005)

Section

RESEARCH ARTICLES

License

Copyright (c) 2005 Journal of Telecommunications and Information Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
E. E. Ligthart, A. G. Yarovoy, F. Roth, and L. P. Ligthart, “Ultra-wideband 3D image processing for improving landmine detection with GPR”, JTIT, vol. 20, no. 2, pp. 9–15, Jun. 2005, doi: 10.26636/jtit.2005.2.314.

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