基于激光扫描的飞机点云预处理技术  

Aircraft Point Cloud Preprocessing Technology Based on Laser Scanning

作　　者：冯上朝[1] 刘莎[1] FENG Shangchao;LIU Sha(Shaanxi Railway Institute,Weinan 714099)

机构地区：[1]陕西铁路工程职业技术学院,渭南714099

出　　处：《计算机与数字工程》2018年第7期1279-1283,共5页Computer & Digital Engineering

基　　金：国家自然科学基金项目"智能Kalman滤波理论及在飞行测试中的应用"(编号:61773147)资助

摘　　要：论文结合某型机的激光扫描点云数据处理内容,详细介绍了点云去噪、点云对齐和点云精简原理及算法实现。点云去噪降低或消除了设备或人工引入的噪声,使数据质量得以提高;点云对齐实现了多片点云的空间基准上的统一,保证了模型数据的完整性;点云精简在保证点云特征的同时,提高了后续建模处理的效率。点云预处理相关算法经过试验验证,效果良好,可为逆向建模行业人员提供借鉴。In this paper,combined with the processing contents of laser scanning point cloud data of a certain machine,the principle and algorithm realization of point cloud denoising,point cloud alignment and point cloud simplification are introduced in detail.To reduce or eliminate the noise of equipment or artificial noise introduced in the point cloud,the data quality can be improved,the point cloud alignment to achieve the unity of multiple point cloud space base,to ensure the integrity of the data model,point cloud simplification in the feature point cloud at the same time,improve the efficiency of subsequent modeling processing.The algorithm of point cloud preprocessing is verified by experiment,and the effect is good.It can be used for reference for the personnel of reverse modeling industry.

关 键 词：激光扫描 点云去噪 点云对齐 点云精简 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]