J Korean Soc Hazard Mitig 2018; 18(1): 137-144  https://doi.org/10.9798/KOSHAM.2018.18.1.137
Efficient Method for Detecting Sub-basement Through Ground Penetration Radar
Lee, Won-hee*, Saheed Mayowa Taiwo**, Lee, Jong-hyun***, and Yoon, Hyung-Koo****
*Member, Undergraduate Student, Department of Construction and Disaster Prevention Engineering, Daejeon University
**Ph.D. Candidate, Department of Construction and Disaster Prevention Engineering, Daejeon University
***Senior Researcher, Multi‐Disaster Countermeasures Organization, KICT
****Member, Assistant Professor, Department of Construction and Disaster Prevention Engineering, Daejeon University
Correspondence to: Member, Assistant Professor, Department of Construction and Disaster Prevention Engineering, Daejeon University (Tel: +82‐42‐280‐2578, Fax: +82‐42‐280‐2576, E‐mail: hyungkoo@dju.ac.kr)
Received: September 30, 2017; Revised: October 18, 2017; Accepted: November 20, 2017; Published online: January 31, 2018.
© The Korean Society of Hazard Mitigation. All rights reserved.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Recently, there have been various kinds of physical and human damages due to the sinkhole occurring in the downtown area. The objective of this study is to detect the underlying burials near building through Ground Penetration Radar (GPR) and to suggest the appropriated technique for performing signal processing. The experiments are conducted at two parking lots near the building and extension road with connecting main road. The experiment site is divided to 3 parts including Area 1, Area 2 and Area 3. The dielectric constant data are measured at 0.5m intervals for detailed detection of the substructure and thus, the number of vertical profiles of Area 1, Area 2 and Area 3 are 46, 26 and 44, respectively. And the horizontal direction is all set to the same 8 lines. The experimental data consist of grids to enhance the resolution and the signal to noise ratio is efficiently improved through signal processing including BPF based on FWHM. The study demonstrates that the suggested technique of signal processing is necessary to obtain high quality result and it may be widely used to increase the resolution of measured data.
Keywords: BPF, Dielectric Constant, FWHM, GPR, Signal Processing


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