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Position: Home > Articles > Ascertainment of Optimum Point Cloud Density for Microtopography DEM Bulletin of Soil and Water Conservation 2015,35 (6) 155-158+163

微地形DEM的最佳点云密度选取

作  者：
魏舟;李光录;任磊
单  位：
西北农林科技大学资源环境学院
关键词：
点云密度;DEM;微地形;数据压缩
摘  要：
[目的]通过对微地形DEM的最佳点云密度进行分析研究,从中选取出最佳点云密度,以实现高效、快速获取地表微地形观测结果的目的,既可降低计算成本,又能够保证观测精度。[方法]通过对多个扫描测次的点云数据进行深入的研究,确定出针对该数据最佳DEM水平分辨率为4mm,对原数据进行7种等级的压缩生成对应的DEM。采用平均误差、中误差、标准差3种最常见的DEM精度指标对生成的DEM进行精度评价分析。[结果](1)在点云压缩程度>15%时,随着点云密度的减小,平均误差基本没有变化,维持在极低的数值上;点云压缩程度<15%时,平均误差随着点云密度的减小而迅速的增大。(2)在点云压缩程度>10%时,随着点云密度的减小,标准差基本没有变化;点云压缩程度<10%时,标准差随着点云密度的减小而迅速增大。(3)在点云压缩程度>20%时,随着点云密度的减小,中误差基本没有变化,维持在极低的数值上;点云压缩程度<20%时,中误差随着点云密度的减小而迅速的增大。[结论]对比验证分析结果表明,20%的点云压缩密度为生成微地形DEM最佳的点云密度。
译  名：
Ascertainment of Optimum Point Cloud Density for Microtopography DEM
作  者：
WEI Zhou;LI Guanglu;REN Lei;College of Resources and Environment,Northwest A&F University;Shaanxi Land Construction Group;
关键词：
point cloud density;;DEM;;microtopography;;data compression
摘  要：
[Objective]Through the analysis and research for optimal point cloud density mico DEM,this paper aimed to select the best point cloud density from it to achieve efficient,rapid access to micro-surface topography observations purpose.Upon which the computational cost was expected to be reduced under the precondition of observation accuracy.[Methods]Previous research of point cloud data proved that the optimal level of resolution about the data was 4mm.The raw data were compressed by 7ratings:100%,75%,50%,25%,10%,5% and 1%to generate the corresponding DEM.Three most common DEM accuracy indicators:average error,root mean square error,standard deviation were used to evaluate the accuracy of the DEM above.[Results](1)When the point cloud compression level was set above 15%,the average error unchanged and maintained at a low value with the decrease of point cloud density,when it was compressed<15%,the average error increased rapidly with the decrease of point cloud density.(2)When the compression of the point cloud was> 10%,standard deviation was in a flat status with the decrease of the point cloud density.When it was <10%,the standard deviation of point cloud density decreases rapidly with the increasing of point cloud density.(3)When point cloud was compressed over 20%,with the decrease of the point cloud density,root mean square error was in the flat segmentation;when it was<20%,the root mean square error rapidly increased with the decrease of point cloud density.[Conclusion]The comparison of different compression ratings verified that the optimal compression level to generate micro-topography DEM should be 20%.

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