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3-D SAR imaging for multistatic GPR
Author(s): Mauricio Pereira; Yu Zhang; Dryver Huston; Tian Xia
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Paper Abstract

Ground penetrating radar (GPR) is a remote geophysical sensing method that has been applied in the localization of underground utilities, bridge deck survey, localization of landmines, mapping of terrain for aid in driverless cars, etc. Multistatic GPR can deliver a faster survey, wider spatial coverage, and multiple viewpoints of the subsurface. However, because of the transmit and receive antennas spatial offset, formation of 3D GPR image by simple stacking of the acquired A-scans is inaccurate. Also, averaging of different receivers data may lead to destructive interference of back-scattered waves due to different time delays implied by the spatial offset, so averaging does not lead to higher SNR in general. Furthermore, the energy back-scattered by scatter points are spread in hyperbolas in the GPR raw data. Migration or imaging algorithms are employed to increase SNR by focusing the hyperbolas. This focusing process also leads to better accuracy in target localization. In this paper, a computationally efficient synthetic aperture radar (SAR) imaging algorithm that properly integrates multistatic GPR data in both ground and air-coupled cases is presented. The algorithm is successfully applied on two synthetic datasets.

Paper Details

Date Published: 13 May 2019
PDF: 14 pages
Proc. SPIE 10980, Image Sensing Technologies: Materials, Devices, Systems, and Applications VI, 109801D (13 May 2019); doi: 10.1117/12.2519430
Show Author Affiliations
Mauricio Pereira, The Univ. of Vermont (United States)
Yu Zhang, The Univ. of Vermont (United States)
Dryver Huston, The Univ. of Vermont (United States)
Tian Xia, The Univ. of Vermont (United States)


Published in SPIE Proceedings Vol. 10980:
Image Sensing Technologies: Materials, Devices, Systems, and Applications VI
Nibir K. Dhar; Achyut K. Dutta; Sachidananda R. Babu, Editor(s)

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