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http://dx.doi.org/10.14190/JRCR.2017.5.2.177

A Ground Penetrating Radar Detection of Buried Cavities and Pipes and Development of an Image Processing Program  

Lee, Hyun-Ho (Department of Architecture & Fire Service Administration, Dongyang University)
Publication Information
Journal of the Korean Recycled Construction Resources Institute / v.5, no.2, 2017 , pp. 177-184 More about this Journal
Abstract
Many ground subsidence accidents have happened in Korea. The accident was caused by the subsidence and leakage of the deteriorated sewage pipe. This study aims to establish the empirical data of the ground penetration radar(GPR) detection for ground subsidence. A test bed was also manufactured for the same purpose. The GPR detection variables are embedment depth and horizontal distance of embedded cast iron pipe and expanded polystyrene(EPS). From the detection results, the EPS embedded by a depth of 1.5m was difficult for detection. The EPS closely embedded to the cast iron pipe within a 0.5m distance had a very strong cast iron pipe signal. Therefore, the detection was impossible. This study developed an image processing program, called the GPR image processing program(GPRiPP), to process the GPR detection results. Its major function is the gain function, which amplifies the wiggle wave signal. Compared to the existing programs, the GPRiPP is capable of showing a similar image processing performance.
Keywords
GPRiPP; Ground subsidence; GPR; Cavity; Image processing;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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