Identification of Buried Objects in GPR Using Amplitude Modulated Signals Extracted from Multiresolution Monogenic Signal Analysis

Abstract

It is necessary to detect the target reflections in ground penetrating radar (GPR) images, so that surface metal targets can be identified successfully. In order to accurately locate buried metal objects, a novel method called the Multiresolution Monogenic Signal Analysis (MMSA) system is applied in ground penetrating radar (GPR) images. This process includes four steps. First the image is decomposed by the MMSA to extract the amplitude component of the B-scan image. The amplitude component enhances the target reflection and suppresses the direct wave and reflective wave to a large extent. Then we use the region of interest extraction method to locate the genuine target reflections from spurious reflections by calculating the normalized variance of the amplitude component. To find the apexes of the targets, a Hough transform is used in the restricted area. Finally, we estimate the horizontal and vertical position of the target. In terms of buried object detection, the proposed system exhibits promising performance, as shown in the experimental results.

Evaluating soil moisture estimation from ground‐penetrating radar hyperbola fitting with respect to a systematic time‐domain reflectometry data collection in a boreal podzolic agricultural field

“…CO surveys carried out in a silage‐corn field adjacent to the experiment plot using the same 500‐MHz transducers in the same configuration showed both well‐ or ill‐shaped shallow hyperbolas in a radargram without burying reflectors. Integrated or segregated application of modern hyperbola fitting algorithms (Dou et al, ; Mertens et al, ; Qiao et al, ) would increase the efficiency and the accuracy (avoiding the subjective error of hyperbola fitting) of this proposed method. The capability of this approach to be used in the spatial and temporal variation of θ v in managed agricultural fields for efficient water management will be our next research question.…”

“…Some recent research has focused on increasing the efficiency of the hyperbola fitting method by minimizing the human error associated with identifying and fitting hyperbolas. Techniques such as multiresolution monogenic signal analysis are useful to detect hyperbolas accurately (Qiao et al, ). Real‐time detection and fitting of hyperbolas have also been recently investigated (Dou et al, ).…”

UAV for Landmine Detection Using SDR-Based GPR Technology

“…L vd is the loss due to antenna's vibrations caused by the drone, L t1 is the loss due to the change of the propagation medium (from air to ground), L t2 is the loss due to the propagation from ground to air, L s is the antenna spreading loss, L a is the loss due to signal attenuation and L sc is the target scattering loss. L t1 and L t2 can be calculated considering the power transmission loss coefficient defined as τ =1-|Γ| 2 , where Γ is the reflection coefficient which can be computed knowing the air and soil impedance Z a and Z m , respectively. Assuming a normal impinging wave, Γ is defined as…”

“…However, within the wide range, two kinds of GPR systems can be identified upon the manner in which the data is acquired, either in time domain or in frequency domain. Most of commercial GPR systems in use today employ time domain methods and fixed RF electronics to implement impulse-based radar techniques [1][2][3][4][5] where a time domain pulse is transmitted and the reflected energy is analysed as a function of time. The resulting waveform indicates the amplitude of the backscattered energy from the subsurface structures versus time where range information from objects within the subsurface is based on the time-of-flight principle.…”

Real‐time object detection using power spectral density of ground‐penetrating radar data

“…To date, there have been various approaches aiming to automatize the object detection procedure. Wavelet transform, Hough transform, and Radon transform are popular techniques among electrical engineering scholars.…”