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

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。

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.