recently, information about buried objects has been needed for redevelopment and reorganization of the complicated urban environment. Accidents caused by pipeline damages, such as gas lines, communication lines and underground electric power lines, are results of loss of people and property. Therefore, information on underground obscured material is essential for safety and construction progress. GPR (Ground Penetrating Radar) investigation has advantages of high resolution, ease of utilization and strong electromagnetic noise when using high frequency. However, the GPR detection data image is not visible and has a problem that it is interpreted differently according to the skill of the inspector. Therefore, this study was conducted to verify the visualization of detection data using computer vision based on GPR detection data. Canny edge and Harris corner detection were applied to the GPR image data to detect the hyperbolic shape. By using this to increase the visibility, it will contribute to the reliable result in the buried detection.

Abstract
 1. 서 론
 2. 실험계획 및 방법
 3. 결 론
 감사의 글

• 박세환(성균관대학교 미래도시융합공학과) | Park Se Hwan
• 신수정(성균관대학교 건설환경시스템공학과) | Shin Soo Jung
• 정석훈(성균관대학교 미래도시융합공학과) | Jeong Seokhun
• 박승희(성균관대학교 건설환경시스템공학과) | Park Seunghee 교신저자