基于LiDAR点云数据的等值线绘制方法

摘要

随着新型传感器激光雷达(LiDAR)步入市场, 自20世纪80年代起逐渐应用于建筑规划、 植被水利等行业. 而在测绘行业, 采用三维激光雷达扫描技术以取代传统的测量技术才刚开始起步, 因其自动化程度高, 更新周期短且获取到的数据精度高, 信息全而逐渐被现代测绘业逐渐认可. 用激光雷达采集到的点云数据为源数据, 探究了三维离散点间接综合等值线的方法, 并尝试改进三维道格拉斯算法, 实现点子重要性排序以用于不同比例尺下地形图的综合. 借助二次开发技术实现点数据栅格化, 绘制等值线, 同时在此过程中对比分析选用不同数量的点集合以及不同分辨率分别对等值线绘制的影响. 结果表明先对点数据进行综合继而回放等高线既保留了原始地形的特征,且缩短了数据处理时间, 同时也可根据实际比例尺的缩小程度, 多尺度地输出、显示等值线.%As entering the market, Light Detection And Ranging (LiDAR) has been applied to the architectural planning, vegetation and water conservancy, and other industries since 1980s. Nevertheless, the application of 3D laser scanning LiDAR in terrain surveying and mapping is innovative, which has the advantages of high speed and accuracy. Its application can reduce the working intensity and time, improve the efficiency of surveying.This study gets the point cloud data as the source of data by using this technology for exploring the method of drawing contour indirectly. 3D douglas-peucker algorithm has been proved in order to sort points. Then, Isolines can be drawn by implementing the interface of arc objects. Finally, the number of points and grid resolution will be set in different levels in order to analyze their impact on drawing Isoline.