Multifrequency Particle Swarm Optimization for Enhanced Multiresolution GPR Microwave Imaging

Salucci, Marco; Poli, Lorenzo; Anselmi, Nicola; Massa, Andrea

doi:10.1109/tgrs.2016.2622061

Cited by 119 publications

(59 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Iterative multi-scale strategies have been proposed in [42]- [45], allowing an efficient usage of the limited amount of available information. In such techniques, the inspected area is iteratively reconstructed at different scales and at each scale specific inversion methods are used to obtain a quantitative reconstruction of the dielectric properties.…”

Section: Nonlinear Inverse Scattering Methodsmentioning

confidence: 99%

Advanced Inversion Techniques for Ground Penetrating Radar

Fedeli¹,

Pastorino²,

Randazzo³

2017

JTIT

View full text Add to dashboard Cite

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.

show abstract

Section: Nonlinear Inverse Scattering Methodsmentioning

confidence: 99%

Advanced Inversion Techniques for Ground Penetrating Radar

Fedeli¹,

Pastorino²,

Randazzo³

2017

JTIT

View full text Add to dashboard Cite

show abstract

“…This approach can detect buried objects based on a B‐scan image, employing a simple equation instead of using advanced techniques, in order to reduce the processing time. Another interesting method employed to find the position and electrical property of the unknown objects is an inverse scattering (IS) technique (Salucci, Poli, Anselmi, et al, ; Salucci et al, ; Salucci, Poli, & Massa, ). The IS scheme, with a combination of the frequency hopping procedure and the multifocusing technique, was proposed in Salucci et al (), where the occurrence of local minima in the IS data‐mismatch cost function can be reduced.…”

Section: Introductionmentioning

confidence: 99%

Automatic Detection and Classification of Buried Objects Using Ground‐Penetrating Radar for Counter‐Improvised Explosive Devices

et al. 2018

View full text Add to dashboard Cite

In this paper, a technique that can automatically detect and classify objects buried under the ground is proposed. The technique employs a ground‐penetrating radar that transmits electromagnetic waves in order to strike the objects and then receives the backscattering electromagnetic wave to perform signal processing. This signal processing is divided into four main steps as follows. First, preprocessing is used to reduce the clutter due to the effect of the media layer interface. Second, the late time of the scattering signal is estimated using a simple cross correlation. Third, a few successive poles are extracted from the scattering response at the estimated late time by using the short‐time matrix pencil method. Finally, the extracted poles are fed for object classification with different constitutions and/or shapes using a support vector machine. Simulations according to the practical situation in three southern provinces of Thailand to counter the improvised explosive devices were set up. The performance of the proposed technique was evaluated. The simulation results showed that the proposed technique can efficiently detect and classify buried objects for counter‐improvised explosive device operations in the military.

show abstract

“…As a matter of fact, this is a general drawback of the iterative inversion methods. In cases where the dimension of the solution space is not so huge, global optimization techniques [21,22,23] are good candidates to search for the global optimal solution. We also refer to [24] for a compressive sensing CSI method which solves the contrast source two-step formulation for detecting the non-radiating part of the equivalent currents.…”

Section: Introductionmentioning

confidence: 99%

A Linear Model for Microwave Imaging of Highly Conductive Scatterers

Sun

Kooij

Yarovoy

2018

IEEE Trans. Microwave Theory Techn.

View full text Add to dashboard Cite

In this paper, a linear model based on multiple measurement vectors model is proposed to formulate the inverse scattering problem of highly conductive objects at one single frequency. Considering the induced currents which are mostly distributed on the boundaries of the scatterers, joint sparse structure is enforced by a sum-of-norm regularization. Since no a priori information is required and no approximation of the scattering model has been made, the proposed method is versatile. Imaging results with transverse magnetic and transverse electric polarized synthetic data and Fresnel data demonstrate its higher resolving ability than both linear sampling method and its improved version with higher, but acceptable, computational complexity.

show abstract

Multifrequency Particle Swarm Optimization for Enhanced Multiresolution GPR Microwave Imaging

Cited by 119 publications

References 53 publications

Advanced Inversion Techniques for Ground Penetrating Radar

Advanced Inversion Techniques for Ground Penetrating Radar

Automatic Detection and Classification of Buried Objects Using Ground‐Penetrating Radar for Counter‐Improvised Explosive Devices

A Linear Model for Microwave Imaging of Highly Conductive Scatterers

Contact Info

Product

Resources

About