水力发电2025，Vol.51Issue(6)：39-43,5.
基于双边滤波算法和高斯滤波算法的河道多波束点云数据去噪研究
River Multi-beam Point Cloud Data Denoising Based on Bilateral Filtering Algorithm and Gaussian Filtering Algorithm
摘要
Abstract
The multi-beam sounding system is widely used in marine topographic survey,which lays a foundation for underwater topographic survey of river channels.There are a lot of noise such as scattered points and isolated points in the underwater topographic point cloud image of river channel measured by the sounding system.An accurate river point cloud data model can be established by using appropriate filtering algorithm.The bilateral and Gaussian filtering methods are common denoising algorithms.Based on the underwater terrain point cloud data of river channel measured by the multi-beam sounding system,the bilateral and Gaussian filtering methods are used to de-noise the point cloud data,and the river point cloud data models before and after denoising are established by using three-dimensional modeling software.The denoising effects of the two algorithms are also compared.The results show that the bilateral filtering algorithm has better denoising effect than the Gaussian filtering algorithm,and can more truly reflect the underwater terrain of river channel.关键词
水下地形测量/多波束测深系统/双边滤波算法/高斯滤波算法/点云数据去噪Key words
underwater terrain measurement/multi-beam sounding system/bilateral filtering algorithm/Gaussian filtering algorithm/point cloud data denoising分类
水利科学引用本文复制引用
马瑞,马汉翔,原鹏举,焦可凡,袁波,丁泽霖..基于双边滤波算法和高斯滤波算法的河道多波束点云数据去噪研究[J].水力发电,2025,51(6):39-43,5.基金项目
国家自然科学基金资助项目(52079051) （52079051）
河南省高校重点基金项目(22A570004,23A570006) （22A570004,23A570006）
