水力发电2025，Vol.51Issue(5)：25-29,124,6.
基于多波束测深技术的水下地形点云数据优化方法
Optimization of Underwater Terrain Point Cloud Data Based on Multi-beam Sounding Technology
摘要
Abstract
The point cloud data of underwater topographic map of river channel measured by multi-beam sounding technology has the problem of data anomalies.The outliers of point cloud data are optimized by using trend surface and robust M estimation filtering method,and the 50%,25%and 16%point cloud data retained by the boundary range-based extraction algorithm are combined.The data retention rates of filter optimization and extraction optimization are compared and analyzed.The results show that the outlier filtering method based on the robust M estimation has better denoising effect,and the extraction optimization results with 25%data retention rate can reduce the data density to the maximum extent while ensuring the integrity of data features.关键词
多波束测深技术/河道水下地形图/数据滤波/数据抽稀Key words
multi-beam sounding technology/underwater topographic map of river channel/data filtering/data thinning分类
水利科学引用本文复制引用
杨莉,杨亮,姬焕,李嘉豪,郑广豪,张宏洋,王祥宇,徐良杰..基于多波束测深技术的水下地形点云数据优化方法[J].水力发电,2025,51(5):25-29,124,6.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）
