海洋测绘2024，Vol.44Issue(4)：30-34,5.DOI:10.3969/j.issn.1671-3044.2024.04.007
多波束点云中复杂河道断面地形的自动提取方法
Automatic extraction method for complex river cross-section terrain in multi-beam point clouds
摘要
Abstract
A method for automatically extracting cross-section terrain from complex underwater terrain,and redundant multi-beam point cloud data,without a topological structure and uneven density distribution,has been proposed based on an improved Douglas-Peucker algorithm.The method eliminated noise points based on the spatial distribution of the point clouds in the river scene.Linear data structures were created by segmenting the point cloud into sections using pile points,which were then transformed into an independent coordinate system to facilitate the extraction of cross-sections and the organization of point clouds.The affinity between the cross-section curve and the fitting curve was analyzed to preserve the characteristic points and smooth points while removing redundant points,finally resulting in a refined river cross-section.The qualitative results showed that the method has a high degree of automation,retains the complete characteristic points,and effectively reduces redundancy.Quantitative evaluations showed that the average percentage of area difference was 0.02%,and the average percentage reduction in redundancy was 80.85%.The accuracy of the shape and the river cross-section area were not lost while reducing data redundancy.关键词
多波束点云/河道断面/DP算法/面积差百分比/冗余度降低百分比Key words
multi-beam point cloud/river cross-section/DP algorithm/percentage of difference area/percentage of degraded redundancy分类
天文与地球科学引用本文复制引用
李启涛,张世明,孙振勇,郑亚慧..多波束点云中复杂河道断面地形的自动提取方法[J].海洋测绘,2024,44(4):30-34,5.基金项目
长江委水文上游局科技创新基金项目(SYJ-KJCX23HD001) （SYJ-KJCX23HD001）
重庆市技术创新与应用发展专项重点项目(CSTB2022TIAD-KPX0132). （CSTB2022TIAD-KPX0132）
