3D Imaging of Dielectric Objects Buried under a Rough Surface by Using CSI

Tetik, Evrim; Akduman, İbrahim

doi:10.1155/2015/179304

Cited by 8 publications

(5 citation statements)

References 17 publications

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“…Previously, buried pipe monitoring based on the joint use of finite-difference time-domain method (FDTD) numerical modeling and linear tomographic inversion methods was investigated [5]. Besides, both two and three-dimensional problems for a buried object under a rough surface were analyzed by analytical and numerical approaches [6,7]. In these studies, first, Green's function of the corresponding problem was obtained.…”

Section: Introductionmentioning

confidence: 99%

A Simple Approach to Characterize a Buried Object Under the Ground

Tabatadze¹,

Karaçuha²,

Alperen³

et al. 2022

PIER M

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This study provides an alternative and straightforward approach to determining buried dielectric objects underground by employing the method of auxiliary sources. In the direct scattering problem, the Brewster angle is determined, and then the electromagnetic properties of the ground are determined. Later, the scattered field above the ground due to the buried object is evaluated. The localization of the buried object is obtained by the continuity of the field components while solving the inverse problem. The numerical experiments are done, and outcomes of the numerical experiments are compared with a commercial full-wave computational electromagnetic software. The outcomes reveal less than 1% deviation between the proposed approach and the commercial tool.

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Section: Introductionmentioning

confidence: 99%

A Simple Approach to Characterize a Buried Object Under the Ground

Tabatadze¹,

Karaçuha²,

Alperen³

et al. 2022

PIER M

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“…Among the various possible approaches to inspect underground structures, microwave imaging provides the ability to characterize subsoil regions based on scattering measurements collected by antennas placed over the area of interest. These techniques can be used to non-invasively determine the presence and the approximate shape of buried objects (in the case of qualitative methods [ 10 , 11 , 12 , 13 , 14 , 15 , 16 ]) or the distribution of their dielectric properties (in the case of quantitative strategies [ 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 ]).…”

Section: Introductionmentioning

confidence: 99%

Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique

Schenone

Estatico

Gragnani

et al. 2022

Sensors

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A microwave characterization technique to inspect subsurface scenarios is proposed and numerically assessed in this paper. The approach is based on a combination of finite element electromagnetic modeling and an inversion procedure in Lebesgue spaces with variable exponents. The former allows for description of the measurement system and subsurface scenario with high accuracy, while the latter exploits the adaptive definition of exponent function to achieve improved results in the regularized solution of the inverse scattering problem. The method has been assessed with numerical simulations regarding two-layered environments with both planar and non-planar air–soil interfaces. The results show the capabilities of the method of detecting buried objects in different operative conditions.

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“…The possibility of obtaining a point-by-point characterization of dielectric structures from noninvasive measurements of the scattered electromagnetic field has attracted the attention of scientists and researchers for decades [1][2][3][4][5][6][7][8][9][10]. Basically, the quantitative retrieval of the dielectric properties of a structure under test from scattered-field data is associated with the solution of an inverse problem [3], which is nonlinear (if no simplifying model approximations are made) and typically ill-posed.…”

Section: Introductionmentioning

confidence: 99%

Microwave Imaging of 3D Dielectric Structures by Means of a Newton-CG Method in lp Spaces

Estatico

Fedeli

Pastorino

et al. 2019

International Journal of Antennas and Propagation

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An increasing number of practical applications of three-dimensional microwave imaging require accurate and efficient inversion techniques. In this context, a full-wave 3D inverse-scattering method, aimed at characterizing dielectric targets, is described in this paper. In particular, the inversion approach has a Newton-based structure, in which the internal linear solver is a conjugate gradient-like algorithm in lp spaces. The presented results, which include the inversion of both numerical and experimental scattered-field data obtained in the presence of homogeneous and inhomogeneous targets, validate the reconstruction capabilities of the proposed technique.

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3D Imaging of Dielectric Objects Buried under a Rough Surface by Using CSI

Cited by 8 publications

References 17 publications

A Simple Approach to Characterize a Buried Object Under the Ground

A Simple Approach to Characterize a Buried Object Under the Ground

Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique

Microwave Imaging of 3D Dielectric Structures by Means of a Newton-CG Method in lp Spaces

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