Multiview Multistatic vs. Multimonostatic Three-Dimensional Ground-Penetrating Radar Imaging: A Comparison

Created 18 marca 2026

Updated on 29 maja 2026

approved

The availability of multichannel ground-penetrating radar systems capable of gathering multiview, multistatic, multifrequency data provides novel chances to improve subsurface imaging results. However, customized data processing techniques and smart choices of the measurement setup are needed to find a trade-off between image quality and acquisition time. In this paper, we adopt a Born Approximation-based full 3D approach, which can manage multiview-multistatic, multifrequency data and faces the imaging as a linear inverse scattering problem. The inverse problem is solved by exploiting the truncated singular value decomposition as a regularization scheme. The paper presents a theoretical study aimed at assessing how the reconstruction capabilities of the imaging approach depend on the adopted measurement configuration. In detail, the performance achievable in the standard case of multimonostatic, multifrequency data is compared with that provided by a multiview-multistatic, multifrequency configuration, where the data are gathered by considering a progressively increasing number of transmitting antennas. The comparison of the achievable imaging performance is carried out by exploiting the spectral content and the point spread function, which are general tools to foresee the achievable reconstruction capabilities. Reconstruction results related to a numerical experiment based on full-wave data are also provided.

itineris-hub
Tags:
Inverse Scattering
MIMO GPR
Microwave Tomography
Publication - Article
Radar Imaging
Basic
Język
English
MainTitle
Multiview Multistatic vs. Multimonostatic Three-Dimensional Ground-Penetrating Radar Imaging: A Comparison
Original ids
https://doi.org/10.3390/rs16173163
Typ
publication
bestAccessRight
OPEN
contributors
Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy, Via Diocleziano 328, 80124 Napoli, Italy
countries
Italy
Creator/Author
Full name
  • Masoodi, Mehdi, orcid: 0000-0003-2832-3736;
  • Gennarelli, Gianluca, orcid: 0000-0002-3600-5327;
  • Soldovieri, Francesco, orcid: 0000-0002-0377-3127;
  • Catapano, Ilaria, orcid: 0000-0002-9031-9992
Other
Opis
The availability of multichannel ground-penetrating radar systems capable of gathering multiview, multistatic, multifrequency data provides novel chances to improve subsurface imaging results. However, customized data processing techniques and smart choices of the measurement setup are needed to find a trade-off between image quality and acquisition time. In this paper, we adopt a Born Approximation-based full 3D approach, which can manage multiview-multistatic, multifrequency data and faces the imaging as a linear inverse scattering problem. The inverse problem is solved by exploiting the truncated singular value decomposition as a regularization scheme. The paper presents a theoretical study aimed at assessing how the reconstruction capabilities of the imaging approach depend on the adopted measurement configuration. In detail, the performance achievable in the standard case of multimonostatic, multifrequency data is compared with that provided by a multiview-multistatic, multifrequency configuration, where the data are gathered by considering a progressively increasing number of transmitting antennas. The comparison of the achievable imaging performance is carried out by exploiting the spectral content and the point spread function, which are general tools to foresee the achievable reconstruction capabilities. Reconstruction results related to a numerical experiment based on full-wave data are also provided.
Publication Date
2024-08-27
Publisher
MDPI AG
Subjects
  • Radar imaging;
  • MIMO GPR;
  • Science;
  • Electrical engineering, electronic engineering, information engineering;
  • Microwave tomography;
  • Inverse scattering;
  • 02 engineering and technology;
  • 01 natural sciences;
  • 0105 earth and related environmental sciences
isGreen
false
isInDiamondJournal
false
Software
Publication
Nazwa
Remote Sensing
Publication
Article
Starting page
3163
issnOnline
2072-4292
vol
16
Other Research Product
Detailed informations
system:type
Research Product
Management Info
Autor
Catalogue Manager ITINERIS
Wersja
1
Last Updated
maja 29, 2026, 11:06 (UTC)
Created
marca 18, 2026, 23:33 (UTC)
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