지상 LiDAR와 UAV를 활용한 문화재 3차원 모델링 연구 [韩语论文]

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In this study, a terrestrial LiDAR survey was conducted and unmanned aerial vehicle (UAV) images were taken for target cultural properties to present the utilization measures of terrestrial LiDAR and UAV in three-dimensional modeling of cultural prope...

In this study, a terrestrial LiDAR survey was conducted and unmanned aerial vehicle (UAV) images were taken for target cultural properties to present the utilization measures of terrestrial LiDAR and UAV in three-dimensional modeling of cultural properties for the identification of the status and restoration of cultural properties. Then the accuracy of the point clouds generated through this process was compared, an overlap analysis of the 3D model was conducted, and a convergence model was created. Consequently, the following conclusions were obtained. First, point clouds were generated through terrestrial LiDAR and UAV for the target cultural properties and their accuracy was calculated. As a result, the terrestrial LiDAR showed a mean error of 0.005m and a standard deviation of ±0.006m, and the UAV showed a mean error of 0.020m and a standard deviation of ±0.027m. Therefore, the modeling with terrestrial LiDAR is more appropriate for precise survey because 3D modeling for the detection of displacement and deformation of cultural properties requires an accuracy of mm units. Second, an overlap analysis of the UAV model was conducted based on the terrestrial LiDAR model. As a result, the points showing an error within ±0.010m in the UAV model accounted for 56.82%, the points showing an error within ±0.042m accounted for 92.09%, and the standard deviation was ±0.038m. Furthermore, the overlap analysis found that the UAV model has such advantages as easy acquisition of data from various directions including the rear part of the objects, a broad range of modeling, and the possibility of time series observation and contents production through the modeling of actual cultural properties. However, it had such limitation as the impossibility of detailed expression of parts with sharp unevenness such as cracks of bricks. Third, a convergence model was created through technical collaboration between terrestrial LiDAR and UAV and a status map was presented including the surroundings of cultural properties based on the convergence model and orthoimages. Furthermore, the status of target cultural properties could be identified by producing side views in the east, west, north, and south directions. Therefore, the convergence model created in this study using the advantages of the terrestrial LiDAR model and the UAV model could be efficiently utilized for the basic data development of cultural properties.

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