A Study on Optimized Processing of Point Cloud data in Ground LiDAR Surveying
| Autor: | CHANG,CHIA-LUN, 張嘉倫 |
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| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 This research utilizes ground LiDAR (Light detection and ranging) and multiple format data of point cloud processing, selects Daxi Butokuden as test areas, converts all point cloud data into *.pod format, and analyzes optimizing effects. Expecting the result of 3D laser scanning technique make contributions to the restoration of monument project. The aims of those studies are summarized as follow: (1) to modify standard operating procedure for processing ground LiDAR; (2) to establish optimized procedure for integrating multiple formats of point cloud data. For optimizing effects, three type data of point cloud processing were discussed in the following directions:(1) coordinate verification, (2) point cloud fitting, (3) point cloud saturation comparison, (4) point cloud advanced application. Based on the results: The advantages of point cloud (RIEGL) processing were suited to long-distance scanning, high-speed scanning and large-function software manners. The advantages of point cloud (FARO) processing were suited to short-distance scanning, high-quality picturing, colorful appearing and relocation convenience of instruments. The advantages of point cloud (Mixed) processing were suited in the best visualization for density, clarity, and texture detail of point cloud processing. Therefore, this study conducted on cultural relics scanning and monument project research is FARO format as the mainly form to process and Bentley software as an assist to present more characteristics on point cloud data. Finally, it will present a more-rapid and high-quality research result. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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