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최석근(Choi Seok Keun),김동윤(Kim Dong Yeun) 대한공간정보학회 2010 대한공간정보학회지 Vol.18 No.3
기존의 구조물 지하공동의 용량측정은 일반적인 측량방법은 불규칙한 단면측정이 곤란하고, 사진측량방법은 시공 중의 먼지나. 소음, 진동, 조명조건 등의 문제로 인하여 정확한 단면결정이 곤란하다. 레이저스케너시스템은 레이저 펄스를 주사하여 반사된 레이저 펄스의 도달시간을 측정함으로써 반사 타깃 없이 지형·지물 및 구조물의 3차원 좌표를 취득할 수 있는 것으로 3차원 모델링에 많이 이용되고 있다. 따라서, 본 연구는 교량 구조물 공사가 이루어지고 있는 지하 앵커리지 굴착 공사에 레이저스케너를 사용함으로서 정확한 단면 및 토공량을 결정하였다. When the capacity of underground caverns' structures is measured, a general surveying is difficult to decide an accurate section of irregular shape and a photographic surveying has problems on picture acquisition due to underground dusts, noise and lighting conditions, etc. The laser scanner system is being much used for 3-dimensional modeling such as topography, planimetric features and structures, etc. without a target by measuring arriving time of a laser pulse reflected after scanning the laser pulse and calculating space coordinates of the reflection position. Accordingly, the present research carried out section and earthwork volume measurement of a tunnel by using a laser scanner in underground anchorage excavation work that a bridge construction is being executed.
해안사구 변화 모니터링을 위한 시계열 UAV DEM 표고보정
최석근(Choi, Seok-Keun),이승기(Lee, Soung-Ki),최도연(Choi, Do-Yeon),임희창(Lim, Heechang) 한국측량학회 2023 한국측량학회지 Vol.41 No.6
Due to climate change and coastal development, significant transformations in coastal dunes have increased the demand for continuous monitoring. The usage of UAV (Unmanned Aerial Vehicles) for this purpose has escalated. However, early UAV monitoring methods encountered limitations in the continuous installation and field measurement of GCP (Ground Control Points), necessitating the use of a reference DEM (Digital Elevation Model) for elevation correction. Notably, as the study area includes coastal dunes on islands, which differ from the mainland, long-term monitoring involves substantial costs and manpower for GCP surveying. This research introduces an elevation correction method for monitoring changes in coastal dunes, building upon previous studies. UNET was used to distinguish classes in invariant areas and to extract characteristic values from these areas. These values were normalized using the Z-score to eliminate outliers, and a linear regression formula was applied to adjust the DEM values. Over eight years, 13 sets of orthoimages and DEMs were created, both with and without GCPs. The proposed technique was evaluated by comparing DEMs with GCPs to those corrected using the proposed method without GCPs. Additionally, transects were selected to assess the effectiveness of the proposed monitoring method. This study confirms the feasibility of using the corrected DEM without ground control point data for coastal dune monitoring.