Multiview Multistatic vs. Multimonostatic Three-Dimensional Ground-Penetrating Radar Imaging: A Comparison
Created March 18, 2026
Updated on March 25, 2026
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Basic
Language
English
MainTitle
Multiview Multistatic vs. Multimonostatic Three-Dimensional Ground-Penetrating Radar Imaging: A Comparison
Original ids
10.3390/rs16173163; 20.500.14243/515948
Type
publication
bestAccessRight
OPEN
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
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Description
<jats:p>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.</jats:p>
Publication Date
2024-08-27
Publisher
MDPI AG
Subjects
radar imaging; MIMO GPR; Science; Q; 0202 electrical engineering, electronic engineering, information engineering; microwave tomography; inverse scattering; 02 engineering and technology; radar imaging; inverse scattering; microwave tomography; MIMO GPR; 01 natural sciences; 0105 earth and related environmental sciences
isGreen
true
isInDiamondJournal
false
Publication
Name
Remote Sensing
Publication
Article
Starting page
3163
issnOnline
2072-4292
vol
16
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Last Updated
March 25, 2026, 10:44 (UTC)
Created
March 18, 2026, 23:33 (UTC)
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