Elsevier

Journal of Applied Geophysics

Volume 134, November 2016, Pages 36-43
Journal of Applied Geophysics

A novel reconstruction method based on changes in phase for subsurface large sloped dielectric target using GPR

https://doi.org/10.1016/j.jappgeo.2016.08.013Get rights and content
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Highlights

  • We analyze the GPR echo features of underground large sloped target.

  • Sloped target will introduce virtual image in the GPR scan process.

  • Changes in phase may highlight the effects of the target on the surroundings.

  • The geometric relationship between recorded signal and reflected signal is utilized to remove the virtual image.

  • The weak energy of back surface of a penetrable target is compensated to reconstruct the whole target.

Abstract

In ground-penetrating radar (GPR) subsurface target reconstruction, various techniques based on amplitude (or energy) information of echoes from metal target with small size can work well. However, for environmental and geological applications, the quantitative analysis of the target's geometric features, like location, shape and size, is exactly what we are concerned about. Amplitude-based reconstruction method faces challenges in these applications. A large sloped target under the surface may lead to abundant virtual image energy and cause position deviation. In addition, the echoes from the inner part of the penetrable dielectric target may be too weak to be detected. However, changes in phase may highlight the effects of echoes from the target on that from the surroundings, even if the effect is small due to the weak energy. In this paper, a novel method based on changes in phase is proposed to reconstruct subsurface large sloped dielectric target. To remove the virtual image, the main idea is based on the geometric relationship between the recorded signal plotted beneath the receiving antenna and the reflected signal emanated from the target position which is “ahead” or “behind” of the receiving antenna. Furthermore, the electromagnetic (EM) wave propagating through the penetrable target will change its velocity and result in advancing or lagging related to the geometric shape of the target. In this case, the weak echoes from the back surface of the target can be compensated according to the advancing or lagging. With the proposed method, the virtual image is eliminated and both front and back surface of the target are reconstructed. Results from the laboratory experiments demonstrate the validity of the proposed method.

Keywords

Geometric features
Reconstruction
Phase
Dielectric target
Virtual image

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