水力发电2025,Vol.51Issue(3):44-49,91,7.
基于多波束测深技术河道测深优化研究
Research on the Optimization of River Channel Bathymetry Based on Multi-beam Bathymetry Technology
摘要
Abstract
The measurement of underwater topography of river channel based on multi-beam bathymetry technology and the construction of three-dimensional model solve the problem of low accuracy and efficiency of single-beam measurement.However,due to the difficulties of equipment layout and other factors,there are"void areas"in point cloud data.The appropriate spatial interpolation methods can effectively eliminate these voids and restore the real underwater topography of river channel.Multi-beam bathymetry technology is used to measure the underwater topography of Hongru River channel model.The global polynomial interpolation(GLP),inverse distance weighted interpolation(IDW),Kriging interpolation and particle swarm optimization-based radial basis function interpolation(PSO-RBF)are used to optimize the point cloud data and reconstruct the underwater terrain of the river channel.The mean absolute error(MAE),mean absolute percentage error(MAPE),root mean square error(RMSE)and correlation coefficient(R2)are used to select the optimal data optimization scheme,and the interpolation fitting degree and prediction correlation are considered.The results show that PSO-RBF method is the best method to optimize the underwater topographic measurement data,and can effectively solve the"void areas"of the underwater topographic point cloud data in practical engineering,and improve the accuracy of spatial interpolation.关键词
多波束测深系统/点云数据/空间插值算法/河道建模/精度模型Key words
multi-beam bathymetry system/point cloud data/spatial interpolation algorithm/river channel modeling/accuracy model分类
测绘与仪器引用本文复制引用
马瑞,张从从,张旭哲,翟嘉隆,姬永立,张宪雷,王祥宇,徐良杰..基于多波束测深技术河道测深优化研究[J].水力发电,2025,51(3):44-49,91,7.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资助项目(22A570004,23A570006) (22A570004,23A570006)