FDTD and improved PSO methods of coupling for identification and localization of buried objects using GPR B-scan response

Matriche, Yacine; Féliachi, Mouloud; Zaoui, Abdelhalim; Abdellah, Mehdi

doi:10.1080/01431161.2014.968689

Cited by 8 publications

(3 citation statements)

References 19 publications

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“…Three other CNN architectures were used to get better CNN detection results. [42]Determine the physical properties of soils using Finite-Time Domain Difference (FDTD). It determined the physical properties of soil based on GPR response in homogeneous soils.…”

Section: Ground Radar Detection Process With An Intelligent Algorithmmentioning

confidence: 99%

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Different techniques in detection of buried objects using ground-penetrating radar: A review

shamy

Sadah

Saeed

2022

QJES

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This literature reviews the work of researchers on ground-penetrating radar (GPR). This research consists of five sections starting from the first section that focuses on the general application and the advantage of the GPR system in comparison to other types of underground detection systems. The main function of the GPR system is to detect the object buried underground and at the end of the full scan, the output image represents the total signals detected by the receiver of the GPR device. One of the main applications of the GPR system is the detection of an underground object, the GPR scans the underground area and the output image represents the total of the signals detected by the receiver. The second section discusses methods for removing unwanted signals such as noise and direct waves from the output image of a GPR system. After removing the noise, the image requires further analysis to discover and interpret the buried object. The third section discusses the common methods used in the process of identifying buried objects. There are different types of buried objects and section four discusses the algorithms used to detect and identify landmines and explosive devices. Finally, the last section summarizes the paper that discussed the detection and identification process using smart algorithm technology. These types of algorithms are the most accurate, have a lower error rate and are cost-effective.

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Section: Ground Radar Detection Process With An Intelligent Algorithmmentioning

confidence: 99%

“…Results are limited by specific experimental design options such as GPR image patches' size and a particular cross-validation procedure. [42] The coupling of the IPSO algorithm to the FDTD analysis method to identify and localize the underground object.…”

Section: Referencementioning

confidence: 99%

Different techniques in detection of buried objects using ground-penetrating radar: A review

shamy

Sadah

Saeed

2022

QJES

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“…To demonstrate one of the applications of the proposed algorithm in ground penetrating radar (GPR). We simulate GPR B-Scan [32] image of targets buried in the sand. Fig.…”

Section: Gpr B-scan Image Of Buried Cylindersmentioning

confidence: 99%

A Novel Transformation Optics-Based FDTD Algorithm for Fast Electromagnetic Analysis of Small Structures in a Large Scope

et al. 2019

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In this paper, we present a novel Transformation Optics based Finite-difference time-domain (TO-FDTD) algorithm with Square Transformed Region, which is suitable for fast electromagnetic analysis of small structures in a large computational domain. A small structure can be solved with coarse grids in a transformed region, since it is enlarged by transformation optics. No fine grid is applied for the small structure so that computational efficiency can be improved greatly. In addition, the TO-FDTD algorithm can also avoid time-space field interpolations and the late-time instability of the subgridding algorithm. To eliminate the staircasing errors introduced by curved boundaries of its transformed region, we propose the square transformed region instead of the circular one. We parameterize the square boundary in polar coordinates so that it is easy to be implemented. Through coordinate transformation, new anisotropic permittivity and permeability can be obtained in the transformed region. Then we develop a stable anisotropic FDTD algorithm to solve the transformed Maxwell's Equations. Numerical results on diffraction and scattering of small structures show that our proposed TO-FDTD algorithm has high computational efficiency and accuracy.INDEX TERMS Finite-difference time-domain (FDTD), staircasing errors, transformation optics.

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1D waveform inversion of GPR trace by particle swarm optimization

Kaplanvural

Pekşen

Özkap

2020

Journal of Applied Geophysics

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FDTD and improved PSO methods of coupling for identification and localization of buried objects using GPR B-scan response

Cited by 8 publications

References 19 publications

Different techniques in detection of buried objects using ground-penetrating radar: A review

Different techniques in detection of buried objects using ground-penetrating radar: A review

A Novel Transformation Optics-Based FDTD Algorithm for Fast Electromagnetic Analysis of Small Structures in a Large Scope

1D waveform inversion of GPR trace by particle swarm optimization

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