地面光達點雲資料處理最佳化之研究

A Study on Optimized Processing of Point Cloud data in Ground LiDAR Surveying

本實驗將三種形式點雲資料處理成果，依據下列方向進行討論最佳化處理之程序：（1）坐標比對（2）點雲套合精度（3）點雲彩度比對（4）點雲進階應用。研究成果顯示：RIEGL點雲資料作業的優點在於長距掃描、掃描速度快及軟體分析功能強大；FARO點雲資料作業的優點在於短距掃描、畫質清晰、點雲色彩豐富及儀器搬移快速；綜合點雲資料作業的優點在於視覺上提供點雲密度、清晰度和細節紋理的最佳呈現。故本研究在文物掃描及古蹟工程研究上，最終以FARO格式為主要點雲資料，最後輔以Bentley（綜合）軟體呈現點雲資料之更多特性，最終表達出更為作業快速且品質細緻的研究成果。

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.