Abstract
본 연구에서는 매립관 및 공동에 대한 GPR 탐사의 실증적 자료 확보 및 GPR 탐사 자료의 이미지 처리를 위한 프로그램을 개발하기 위한 토조의 GPR 탐사를 시행하였다. 비포장 및 아스팔트 포장의 경우 심도 0.7m에서 물채움 공동을 확인할 수 있었으나, 1.0 m 및 1.3 m 깊이에 매립한 공동은 탐지 불가하였다. 무근 및 철근 콘크리트 포장의 경우 신호의 간섭이 심하여 공동을 탐지하는 것이 어려웠다. GPR 탐사 데이터의 이미지 처리를 위한 프로그램 GPRiPP을 개발하였다. 주요한 처리 기법인 백그라운드 제거, 스택킹 및 게인 기능 알고리즘을 프로그램에 반영하였으며, 적절한 백그라운드 제거 및 게인 기능을 사용하면 기존 프로그램과 유사한 이미지 처리 결과를 도출할 수 있음을 확인하였다. To get the empirical data of GPR detection and to develop the image prosessing program of GPR detection data, GPR detection were proceed by the underground pipes and cavities buried in the Chamber. In the case of non pavement and asphalt pavement, water filled cavity that was buried in 0.7m depth was able to detection. But in the case of 1.0 m and 1.3 m buring depth, water filled cavity was not able to detection. In the case of non-reinforced and reinforced concrete pavement, it was difficult to detect the cavity caused by signal interference. GPRiPP programs was developed for image processing of the GPR detection data. The major processing algorithm were background removal, stacking and gain function. With proper image processing of gain function and background removal in GPRiPP program, it was showed that similar results can be obtained with conventional image processing program.
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