dc.contributor | 地政系 | - |
dc.creator (作者) | 邱式鴻 | - |
dc.creator (作者) | Chio, Shih-Hong | - |
dc.creator (作者) | Hou, Kai-Wen | - |
dc.date (日期) | 2021-12 | - |
dc.date.accessioned | 18-May-2022 16:07:04 (UTC+8) | - |
dc.date.available | 18-May-2022 16:07:04 (UTC+8) | - |
dc.date.issued (上傳時間) | 18-May-2022 16:07:04 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/140107 | - |
dc.description.abstract (摘要) | The cadastral detail data is used for overlap analysis with digitized graphic cadastral maps to solve the problem of inconsistencies between cadastral maps and the current land situation. This study investigated the feasibility of a handheld LiDAR scanner to collect 3D point clouds in an efficient way for a detail survey in urban environments with narrow and winding streets. Then, urban detail point clouds were collected by the handheld LiDAR scanner. After point cloud filtering and the ranging systematic error correction that was determined by a plane-based calibration method, the collected point clouds were transformed to the TWD97 cadastral coordinate system using control points. The land detail line data were artificially digitized and the results showed that about 97% error of the digitized detail positions was less than 15 cm compared to the check points surveyed by a total station. The results demonstrated the feasibility of using a handheld LiDAR scanner to perform an urban cadastral detail survey in digitized graphic areas. Therefore, the handheld LiDAR scanner could be used for the production of the detail lines for urban cadastral detail surveying for digitized cadastral areas in Taiwan. | - |
dc.format.extent | 98 bytes | - |
dc.format.mimetype | text/html | - |
dc.relation (關聯) | Remote Sensing, 13(24), 4981 | - |
dc.subject (關鍵詞) | cadastral survey; detail survey; handheld LiDAR scanner; calibration | - |
dc.title (題名) | Application of A Hand-Held LiDAR Scanner for the Urban Cadastral Detail Survey in Digitized Cadastral Area of Taiwan Urban City | - |
dc.type (資料類型) | article | - |
dc.doi.uri (DOI) | https://doi.org/10.3390/rs13244981 | - |