激光扫描点云数据中的大范围密集噪点剔除算法分析
Analysis of Large Range Dense Noise Removal Algorithm in Laser Scanning Point Cloud Data
沈建 1李俊磊 1谢勇 1马春田1
作者信息
- 1. 国网电力空间技术有限公司,北京 102200
- 折叠
摘要
阐述一种基于颜色聚类和高斯分布模型的大范围密集噪点剔除算法,该算法通过对点云数据进行颜色聚类和高斯分布模型拟合,实现对噪点的自动检测和剔除.实验结果显示了该算法的有效性.
Abstract
This paper expounds a large-scale dense noise removal algorithm based on color clustering and Gaussian distribution model.The algorithm automatically detects and removes noise by performing color clustering and Gaussian distribution model fitting on point cloud data.The experimental results demonstrate the effectiveness of the algorithm.
关键词
激光扫描/点云数据/噪点剔除/颜色聚类/高斯分布模型Key words
laser scanning/point cloud data/noise removal/color clustering/Gaussian distribution model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据