Swarm Optimization Methods in Microwave Imaging

Randazzo, Andrea

doi:10.1155/2012/491713

Cited by 29 publications

(8 citation statements)

References 76 publications

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“…However, such approaches suffer from local minima problems [31], and thus are quite sensitive to the availability of a suitable starting guess. Stochastic minimization schemes have also been largely used [32]- [34]. These methods are in principle able to overcome the problem of local minima, but their numerical complexity is often higher than the one of deterministic approaches.…”

Section: Quantitative Electromagnetic Inversionmentioning

confidence: 99%

Advanced Inversion Techniques for Ground Penetrating Radar

Fedeli¹,

Pastorino²,

Randazzo³

2017

JTIT

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Abstract-Ground Penetrating Radar (GPR) systems are nowadays standard inspection tools in several application areas, such as subsurface prospecting, civil engineering and cultural heritage monitoring. Usually, the raw output of GPR is provided as a B-scan, which has to be further processed in order to extract the needed information about the inspected scene. In this framework, inverse-scattering-based approaches are gaining an ever-increasing interest, thanks to their capabilities of directly providing images of the physical and dielectric properties of the investigated areas. In this paper, some advances in the development of such inversion techniques in the GPR field are revised and discussed.

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Section: Quantitative Electromagnetic Inversionmentioning

confidence: 99%

Advanced Inversion Techniques for Ground Penetrating Radar

Fedeli¹,

Pastorino²,

Randazzo³

2017

JTIT

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“…In this paper, the cost functions previously defined for the different strategies are minimized by using an artificial bee colony (ABC) algorithm [27], [28]. In such an approach (belonging to the family of swarm optimization methods), a population of trial solutions is iteratively modified according to stochastic rules until a convergence criterion is met.…”

Section: Different Approaches For the Reconstruction Of The Permimentioning

confidence: 99%

Electromagnetic Inverse Scattering of Axially Moving Cylindrical Targets

Pastorino

Raffetto

Randazzo

2015

IEEE Trans. Geosci. Remote Sensing

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Electromagnetic inverse scattering techniques are considered to reconstruct the permittivity and the velocity profiles of axially moving cylindrical targets. Two approaches are proposed. One of these is based on a two-step procedure. It is shown that it provides good approximations of the profiles to be reconstructed in a very efficient way, when the peak velocity is small with respect to the speed of light in vacuum. These features are obtained by neglecting the movement in the first step, which is devoted to the reconstruction of the geometric and dielectric properties of the cylindrical targets. The second approach is more classical and is defined as a global optimization problem. It is shown that the two procedures are in some way complementary in the sense that, when the two-step procedure can be applied, it is by far the best, with the general procedure giving large errors; vice versa, the two-step procedure is in trouble when the other one gives good results. In carrying out this analysis, some estimates on the effects of the movement on the scattered field components are deduced in the limit as the peak velocity goes to zero.Index Terms-Bianisotropic media, inverse scattering procedures, moving media, reconstruction of permittivity and velocity profiles, time-harmonic electromagnetic scattering.

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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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Swarm Optimization Methods in Microwave Imaging

Cited by 29 publications

References 76 publications

Advanced Inversion Techniques for Ground Penetrating Radar

Advanced Inversion Techniques for Ground Penetrating Radar

Electromagnetic Inverse Scattering of Axially Moving Cylindrical Targets

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

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