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Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique
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 de...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823888/ https://www.ncbi.nlm.nih.gov/pubmed/36616765 http://dx.doi.org/10.3390/s23010167 |
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author | Schenone, Valentina Estatico, Claudio Gragnani, Gian Luigi Pastorino, Matteo Randazzo, Andrea Fedeli, Alessandro |
author_facet | Schenone, Valentina Estatico, Claudio Gragnani, Gian Luigi Pastorino, Matteo Randazzo, Andrea Fedeli, Alessandro |
author_sort | Schenone, Valentina |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9823888 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98238882023-01-08 Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique Schenone, Valentina Estatico, Claudio Gragnani, Gian Luigi Pastorino, Matteo Randazzo, Andrea Fedeli, Alessandro Sensors (Basel) Article 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. MDPI 2022-12-24 /pmc/articles/PMC9823888/ /pubmed/36616765 http://dx.doi.org/10.3390/s23010167 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Schenone, Valentina Estatico, Claudio Gragnani, Gian Luigi Pastorino, Matteo Randazzo, Andrea Fedeli, Alessandro Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique |
title | Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique |
title_full | Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique |
title_fullStr | Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique |
title_full_unstemmed | Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique |
title_short | Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique |
title_sort | microwave-based subsurface characterization through a combined finite element and variable exponent spaces technique |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823888/ https://www.ncbi.nlm.nih.gov/pubmed/36616765 http://dx.doi.org/10.3390/s23010167 |
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