Abstract

There are more than 119 million mines were buried in 71 countries in the world. The number of mine victims is greater than the number of the victims of nuclear and chemical weapons together. Egypt is one of the countries that suffer from the presence of landmines in its soil. Hence, around 21 million landmines are found in several locations, especially at El-Alameen and Sinai Peninsula. Ground Penetrating Radar (GPR) is a near-surface geophysical imaging technique used for subsurface geologic, engineering and environmental investigations. It is an efficient tool for landmines detection, especially non-metal types such as PMN-2 landmine as well as its far detection capability. In this paper, our main objective is to validate the ability of Ground penetrating Radar to discriminate between various buried targets. Wavelets transform was used to obtain the spectrum distribution of every buried target. The difference between the distributions of the different target spectrum can be considered as a finger print for each one, the summations of powers at the locations of targets were calculated and compared. Simulation models for different targets were made. The reflections of targets were analyzed by Daubechies Wavelets (db2) transform to differentiate between different targets and to get finger print for every target. This technique was applied for field measurement of different target type and the technique revealed that the variation of finger print for every buried target. We believe that with this t

Highlights

  • Landmine clearance is a critical problem faced by many countries around the world, and the situation can be compounded by natural disasters or land development

  • Three features based on Singular Value Decomposition (SVD), Discrete Fourier transform DFT and Principal Component Analysis, (PCA), are extracted to each signal for landmine detection, which is performed by using the Mahalanobis distance method

  • We found that a significant difference between power distributions of the different target spectrum, which varies depending on the target type that can be considered as a finger print for every target

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Summary

Introduction

Landmine clearance is a critical problem faced by many countries around the world, and the situation can be compounded by natural disasters or land development. These methods involve the detection of landmines from the signals obtained by nontouch-based sensors, such as metal detectors and radars. Among those sensors, ground penetrating radars, or GPRs, is an attractive choice for landmine detection due to their advantages over other sensors. The GPR can be used as a stand-alone sensor or as a complementary sensor to a metal detector [1,2] It can detect both metal and nonmetal landmines. The finger prints of various buried targets of different material were obtained through the application of our technique [7]. We obtained the finger print of various buried targets

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