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Qualitative Imaging of Experimental Multistatic Ground Penetrating Radar Data

Subsurface imaging of unknown buried objects is of fundamental importance in several fields, spanning from civil engineering applications to safety and biomedical issues. The detection of objects located in an investigation domain in a nondestructive fashion can be faced via addressing an electromagnetic inverse scattering problem. In this paper, an experimental assessment of a simple, linear approach, known as linear sampling method (LSM), is proposed. The results show good recovery performa...

A Simple Quantitative Inversion Approach for Microwave Imaging in Embedded Systems

In many applications of microwave imaging, there is the need of confining the device in order to shield it from environmental noise as well as to host the targets and the medium used for impedance matching purposes. For instance, in MWI for biomedical diagnostics a coupling medium is typically adopted to improve the penetration of the probing wave into the tissues. From the point of view of quantitative imaging procedures, that is aimed at retrieving the values of the complex permittivity in ...

Convolutional Neural Networks for Tomographic MIMO Ground Penetrating Radar Imaging

Ground penetrating radar (GPR) represents a remote sensing modality which has been extensively exploited for the detection and characterisation of buried objects in a non-destructive way. To this aim, several algorithms have been developed to efficiently and automatically identify underground targets of interest. In this framework, approaches based on deep learning and convolutional neural networks (CNNs) have been proposed in the past years and recently gained a lot of attention by the scien...

Neural networks for optimal initial guess selection in nonlinear microwave subsurface imaging

Subsurface non-destructive exploration is of interest for several applications which span from archeology and civil engineering to safety and security. Among the available remote sensing imaging modalities, ground penetrating radar (GPR) seems very attractive for the detection and characterisation of buried targets. This technology exploits electromagnetic signals in the microwave band to perform the exploration in a non-invasive way. Unfortunately, conventional GPR images require an expert u...

Other-regarding preferences in pro-environmental behaviours: Empirical analysis and policy implications of organic and local food products purchasing in Italy

This paper investigates the link between organic and local food products purchasing as pro-environmental behaviours, and “other-regarding preferences”, such as altruism, intrinsic motivation and self-image, which is measured through individuals’ environmental concerns, volunteering, participation in ecological associations and pro-social behaviours. Using the Italian data from the Multipurpose survey on households “Aspects of daily life” conducted in 2019, and bivariate probit models, this pa...

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Per segnalare problemi di carattere tecnico riferirsi esclusivamente a:

http://segnalazioni-iris.uniparthenope.it/richiesta.php

email: iris@uniparthenope.it

Prodotti recenti

Qualitative Imaging of Experimental Multistatic Ground Penetrating Radar Data

A Simple Quantitative Inversion Approach for Microwave Imaging in Embedded Systems

Convolutional Neural Networks for Tomographic MIMO Ground Penetrating Radar Imaging

Neural networks for optimal initial guess selection in nonlinear microwave subsurface imaging

Other-regarding preferences in pro-environmental behaviours: Empirical analysis and policy implications of organic and local food products purchasing in Italy

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