3D migration depth focus velocity analysis of hand-held ground penetrating radar

Dong, Zejun, Feng, Xuan, Zhou, Haoqiu, Zou, Lilong ORCID: https://orcid.org/0000-0002-5109-4866 and Sato, Motoyuki (2022) 3D migration depth focus velocity analysis of hand-held ground penetrating radar. Geosciences, 12 (4). e178.

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Abstract

Hand-held ground penetrating radar (GPR) systems have been widely applied to landmine detections during recent decades. The accuracy of an imaging result by migration for a hand-held GPR is strongly related to the accuracy of subsurface velocity distribution obtained from multi offset data. For shallow targets like landmines, the hyperbolas are usually not distinct in 2D slices and are masked by the surface reflections. In this article, we propose a 3D migration depth focus velocity analysis method for hand-held GPRs to estimate the background velocity of the subsurface. This method is performed based on the images generated by migrations. The objective function is defined as the proportion of the target on the depth slice containing the target. After migrating a GPR radargram with different velocities, the background velocity, which minimizes the objective function, can be determined by comparing the imaging results by migration using different velocities. To test the proposed method, we apply this procedure to experimental GPR data collected with an advanced landmine imaging system (ALIS) in the laboratory. Subsequently, the velocity of the background is obtained, 3D diffraction migration with the obtained velocity achieves subsurface imaging with high quality. The accurate position and depth of the target are obtained from the optimal migration image.

Item Type: Article
Identifier: 10.3390/geosciences12040178
Additional Information: Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. Funding: This research was funded by the Science and Technology on Near-Surface Detection Laboratory and by JSPS KAKENHI Grant Number JP19KK0102
Keywords: ALIS, 3D migration velocity analysis, hand-held GPR, imaging, landmine detection
Subjects: Construction and engineering > Civil and environmental engineering
Related URLs:
SWORD Depositor: Jisc Router
Depositing User: Lilong Zou
Date Deposited: 18 Aug 2022 13:00
Last Modified: 18 Aug 2022 13:00
URI: http://repository.uwl.ac.uk/id/eprint/8978

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