保留路面特征的车载激光点云非均匀压缩方法  

A Non-uniform Compression Method of Mobile Laser Point Cloud for Retaining Pavement Characteristics

作　　者：刘如飞[1] 王鹏[1] 

机构地区：[1]山东科技大学测绘科学与工程学院,山东青岛266590

出　　处：《遥感信息》2017年第1期100-103,共4页Remote Sensing Information

基　　金：海洋公益性行业科研专项经费项目(201305034-1);国家重大仪器设备开发专项(2013YQ120343);测绘公益性行业科研专项经费资助项目(201512034);山东科技大学人才引进科研启动基金项目(2016RCJJ004)

摘　　要：针对车载移动测量系统获取的海量路面点云数据的压缩问题,提出一种根据激光点高程和强度信息设计的路面点云非均匀压缩法。该方法基于点云密度和路面目标地物尺寸确定点抽稀和线抽稀尺度,按扫描线索引进行单条扫描线上激光点抽稀和多条扫描线抽稀;通过分析扫描线上窗口内激光点的强度和高程分布判断目标点是否为信息特征点,并予以保留。实验表明,该方法在点云数据压缩时能有效保留路面标识线、坑槽、修补等地物的边缘特征点。For the compression of massive pavement point cloud data obtained by vehicle-borne mobile surveying,a nonuniform compression method based on laser intensity and elevation information was proposed.The point and scanning line thinning scales are determined by point cloud density and road surface target size and the thinning of one single scanning line points and more scanning lines are executed based on scanning line index.Information feature point is judged by analysis of laser point intensity and elevation distribution in scanning line window and then be kept.The experiment shows that this method can effectively retain the edge feature points of pavement marking line,pit and repair on data compression.

关 键 词：车载移动测量 扫描线 路面点云 信息特征点 非均匀压缩 

分 类 号：P208[天文地球—地图制图学与地理信息工程]