基于噪声范围的点云数据质量评价方法研究
Research on Quality Evaluation Method of Point Cloud Data Based on Noise Range
柳宇航1
作者信息
- 1. 国家能源集团陕西神延煤炭有限责任公司,陕西榆林 719300
- 折叠
摘要
随着点云数据采集技术及点云自动化处理技术的不断发展,点云数据的应用越来越广泛.点云数据质量是点云数据应用的基础,对于点云数据的质量评价大多从点云精度、密度、噪声等方面入手.不同数据源的点云数据存在一种随机误差,这种误差是在点云精度要求范围内的一种随机噪声点,从空间分布上表现为平面点云的厚度,也是反映点云质量的一个重要指标.从这种随机噪声角度入手提出一种基于噪声范围的点云数据质量评价方法,通过试验,验证该方法能够快速准确地对点云数据做出质量评价,有利于后期点云数据的处理与应用.
Abstract
With the continuous development of point cloud data acquisition technology and point cloud automatic processing technology,the application of point cloud data is more and more widely.The quality of point cloud data is the basis of the application of point cloud data,and the quality evaluation of point cloud data mostly starts from accuracy,density and noise of point cloud,etc.There is a random error in point cloud data from different data sources,which is a random noise point within the required range of point cloud accuracy.This error is represented by the thickness of flat point cloud in spatial distribution.It is also an important index to reflect the quality of point cloud.From the perspective of random noise,a point cloud data quality evaluation method based on noise range is proposed.Through experiments,it is verified that we can quickly and accurately evaluate the quality of point cloud data with this method,which is conducive to the processing and application of later point cloud data.
关键词
点云/质量评价/噪声范围Key words
Point cloud/Quality evaluation/Noise range引用本文复制引用
出版年
2024
NETL
NSTL
万方数据