摘要
针对目前点云数据精度评定方法单一的问题,提出了一种复杂地形下基于点、线、面的点云数据精度综合评定方法。通过分析点云数据精度评定3类误差,建立点云数据精度评定方法和点云数据质量评价体系;然后通过分析误差传播定律,推导出点云数据理论精度公式;再将基于点云数据提取的点、线、面等形式的数据成果与对应形式的传统方法采集的数据资料进行单点及整体的精度分析,建立基于点、线、面的单点精度与整体精度、内符合精度与外符合精度相结合的综合精度评价体系。采用该方法进行试验数据分析,基于点的精度分析表明,受地形影响的点云数据精度差值可达0.07 m,受地貌影响的精度差值为0.02 m;基于线的精度分析表明,断面面积差一般在0.6%以内;基于面的精度分析表明,不同构网方法的体积差均在1%以内。试验结果表明该方法对复杂地形下点云精度评定具有参考价值,可应用于实际项目工程。
In response to the problem of less method for accuracy evaluation of point cloud data,this study proposes a comprehensive accuracy assessment method integrating points,lines,and surface-based analyses for point cloud data in complex terrains.By analyzing the three types of errors in point cloud data accuracy assessment,a point cloud data accuracy assessment method and a point cloud data quality evaluation system are established.Then,by analyzing the error propagation law,the theoretical accuracy formula of point cloud data is derived.Subsequently,the data results of points,lines,and surfaces extracted from point cloud data are compared with the data collected by traditional methods for single-point and overall accuracy analysis,and a comprehensive accuracy evaluation system based on points,lines,and surfaces is established,which combines single-point accuracy and overall accuracy,internal consistency accuracy and external consistency accuracy.Experimental data analysis using this method shows that the accuracy of point cloud data is up to 0.07 m under influence of terrain and up to 0.02 m under influence of landform based on point accuracy analysis;the difference in cross-sectional area is generally within 0.6%based on line accuracy analysis;and the volume difference of different meshing methods is within 1%based on surface accuracy analysis.The experimental results demonstrate that this method has reference value for the accuracy assessment of point cloud data under complex terrain and can be applied in actual project engineering.
作者
樊小涛
王进
何友福
FAN Xiaotao;WANG Jin;HE Youfu(Upper Changjiang Rive Bureau of Hydrological and Water Resources Survey,Hydrology Bureau of Changjiang Water Resources Commission,Chongqing 400021,China;Hydrology Bureau,Changjiang Water Resources Commission,Wuhan 430010,China)
出处
《人民长江》
北大核心
2025年第3期146-151,共6页
Yangtze River
基金
国家重点研发计划项目(2023YFC3209502)
重庆市自然科学基金项目(CSTB2023NSCQ-LZX0089)
长江水利委员会水文局科研项目(SWJ-24CJX18)。
