基于地面三维激光扫描仪点云数据的去噪算法研究

摘要

Point cloud noise in the raw point cloud data of terrestrial laser scanner seriously affected the quality of point cloud and the effect of post-processing, because of the instrument itself, the external environment, solid surface features and other causes.This thesis conducted three kinds ordered point cloud denoising, used VC ++language to implement algorithm functional.Finally, se-lected an area of single station terrestrial laser scanner raw point cloud data to experiment analysis, and summarized the advantages and disadvantages of each algorithm and applicable conditions.%原始三维激光点云数据中存在由于仪器本身、外界环境、实体表面特征等因素导致的噪点，严重影响点云质量以及后处理效果。针对地面三维激光扫描仪原始激光点云数据的去噪问题，本文进行了3种有序点云去噪算法的研究，并采用VC＋＋编程语言进行算法的功能实现，最后选取某区域单站地面原始三维激光点云数据进行实验分析，总结了各算法的优缺点及适用条件。