SCHENONE , Valentina

Quantitative inversion of GPR data opens the door to precise characterization of underground environments. However, in order to make the inverse scattering problem solution easier from a computational viewpoint, simplifying assumptions are often applied, i.e., two-dimensional approximations or the consideration of idealized field probes and...

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The development of microwave-based inverse scattering techniques to inspect bodies and structures in a noninvasive way has inspired numerous applications [1] , [2] , which range from biomedical diagnostics to industrial settings and geophysics [3]. In all these promising fields, a successful implementation of microwave inverse scattering...

Mismatch between measurements and model used inside the inversion scheme represent a critical point in subsurface electromagnetic imaging. In this paper, a timedomain strategy based on the use of long short-term memory cells is proposed. The approach is assessed through a set of simulations where a couple of antennas are used to...

An approach for antenna array diagnostics is presented in this paper. The developed procedure is based on the solution of the underlying inverse problem by means of a Lebesgue-space inversion technique, which has been found to be quite effective in retrieving small and isolated defects without the need of strictly enforcing sparsity...

Electromagnetic imaging of dielectric targets at microwave frequencies needs dealing with an inverse problem, whose solution process is further complicated by the unavoidable presence of model error. In this work, the adoption of a neural network based on long short-term memory cells is introduced for the compensation of such an issue. In...

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A mild data-driven approach for microwave imaging is considered in this paper. In particular, the developed technique relies upon the use of a Newton-type inversion scheme in variable-exponent Lebesgue spaces, which has been modified by including a data-driven operator to enforce the available a-priori information about the class of targets to...

The possibility of detecting faulty elements in steerable antenna arrays based on measurements of the radiated electromagnetic field has a key relevance in several scenarios. However, since the related inverse problem is affected by a severe ill-posedness, the development of specific algorithms is required for its solution. In this...

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Ground Penetrating Radar (GPR) is a non-invasive imaging technique widely adopted in subsurface prospection, e.g., for soil mapping, demining, utility detection, road pavement monitoring, etc. The output of GPR systems is usually provided as a B-scan, i.e., a two-dimensional plot of the received electromagnetic signal versus time. However, such...

The quantitative reconstruction of structures that include both metallic and dielectric targets at the same time is addressed in this article. In particular, a nonlinear tomographic inversion approach developed in variable exponent Lebesgue spaces with a finite element (FE) formulation is adopted for the first time in such a configuration....

In this paper, a microwave inverse-scattering technique based on the inversion of S-parameter measurements by means of a nonlinear method in variable-exponent Lebesgue spaces is presented. A two-dimensional finite-element formulation is adopted to model the measurement setup accurately. The approach has been preliminarily validated using...

In this paper, a novel antenna array diagnostic approach is presented. The failures in antenna arrays are detected by means of a non-Hilbertian Lebesgue-space L-p technique to solve the underlying inverse problem. The solution of this inverse problem enables to retrieve the distribution of faulty feed excitations of the antenna under test...

Microwave inverse scattering in the presence of non-homogeneous media plays an important role in numerous applicative scenarios [1], [2]. Indeed, non-homogeneous media are present in several areas, such as in the industrial field for non-destructive testing or in civil engineering and geophysics, e.g., in the detection of buried structures....

An electromagnetic imaging technique for the characterization of targets embedded in stratified media is proposed. The method aims at reconstructing the distributions of the dielectric properties from scattering S-parameters measurements through a non-linear inversion technique in variable-exponent Lebesgue spaces merged with a finite-element...

In this paper, a subsurface imaging configuration is considered, with the goal of retrieving the quantitative dielectric properties of buried targets from scattered electric field measurements performed by a set of antennas above the soil. The acquired scattered-field data are processed by a nonlinear inverse-scattering approach in...

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In the present paper, a hybrid electromagnetic imaging method for subsurface prospection is presented. The approach is based on the cascade of two blocks: a time-domain qualitative reconstruction algorithm followed by a multifrequency quantitative inverse-scattering technique. In the first phase, the scattered-field data estimated by adaptive...