水道港口2024，Vol.45Issue(2)：302-307,6.
基于渐进三角网的多波束滤波算法研究
Research on automatic removal of multi-beam outliers by progressive triangulation
摘要
Abstract
A large number of outliers are generated in the data processing due to the interference of various elements in the process of multi-beam bathymetry.Outliers(often referred to as noise)rejection is critical in multibeam data processing.The commonly used trend surface filtering algorithm is mainly used to establish the surface of the underwater terrain and to filter the multi-beam noise by comparing the noise point with the established surface.This paper attempts to use the form of constructing a triangular network to complete multi-beam filtering.At present,manual intervention is mainly used,and the operators'expertise significantly impacts the data results.This paper proposes a PTD aiming at the problem of multi-beam noise elimination.The Grubbs algorithm is used to select the lowest water depth point.In this paper,the seabed terrain points are used to establish a triangulation network through Delaunay triangulation to construct a seabed model.The edge length,angle and distance of the triangulation are used as the judgment thresholds to separate noise points and water depth points.Taking the measurement of channel depth in Wenzhou sea area as an example,advantages and disadvantages of this algorithm are verified by comparing with the artificial processing results of the CUBE algorithm in Caris and the traditional trend surface algorithm.关键词
多波束测深系统/异常值/渐进三角网加密/阈值/航道/水深Key words
multibeam bathymetry system/outliers/PTD/threshold/waterway/water depth分类
交通工程引用本文复制引用
邢承滨,耿宏,杜宁..基于渐进三角网的多波束滤波算法研究[J].水道港口,2024,45(2):302-307,6.基金项目
国家重点研发计划项目(2021YFB2600502) （2021YFB2600502）
中央级公益性科研院所科研创新基金项目(TKS20210304) （TKS20210304）
天津水运工程勘察设计院发展基金(SJY202109) （SJY202109）
