机载激光雷达点云密度特征应用现状及进展  

Application and Progress of Point Cloud Density Feature of LiDAR

作　　者：赖旭东[1,2] 刘雨杉 李咏旭 祝勇 LAI Xudong

机构地区：[1]武汉大学遥感信息工程学院,湖北武汉430079 [2]地理国情监测国家测绘地理信息局重点实验室,湖北武汉430079 [3]湖北锐捷信息集成有限公司,湖北武汉430014

出　　处：《地理空间信息》2018年第12期1-5,128,共6页Geospatial Information

基　　金：国家自然科学基金资助项目(41771368);广东省国土资源技术中心项目(0612-1841D0330175);湖北省测绘工程院项(WHBZG-2017-042)

摘　　要：点云密度是机载激光雷达(light detection and ranging,LiDAR)点云数据的重要特征,也是硬件制造、数据采集、数据处理及数据应用中常用的关键指标。随着LiDAR硬件技术的发展,点云密度越来越高,能够更精确地描述地形地物的特征和规律,已有众多学者针对点云密度开展相关研究。基于此,归纳了目前点云密度的研究和应用现状,探讨了存在的主要问题;研究了不同密度点云数据生产DEM的能力;验证了点云抽稀及点云加密方法。Point cloud density is an important feature of LiDAR point cloud data,which is also a key index commonly used in hardware manufacturing,data acquisition,data processing and data application.With the development of LiDAR hardware technology,the density of point cloud is getting higher and higher,which can describe the characteristics and laws of terrain more accurately.Many scholars have carried out relevant research on point cloud density.In this paper,we summarized the current research and application status of point cloud density,discussed the main problems,studied the ability of producing DEM from point cloud data with different densities,and carried out the experiments on point cloud thinning and point cloud encryption methods.

关 键 词：LIDAR 点云密度 DEM 点云抽稀 点云加密 

分 类 号：P225[天文地球—大地测量学与测量工程]