江淮水利科技Issue(2)：32-37,6.DOI:10.20011/j.cnki.JHWR.202502006
基于机载点云的大数据分析与精细化分类研究
Research on big data analysis and refined classification based on airborne point cloud
严慧敏1
作者信息
- 1. 安徽省水利水电勘测设计研究总院股份有限公司,安徽 合肥 230088
- 折叠
摘要
Abstract
With the rapid development of airborne light detection and ranging technology,the amount of acquired airborne point cloud data has explosive increased.How to effectively analyze and finely classify this massive amount of surveying and mapping data has become a current research hotspot.This paper elaborated in detail on the acquisition principle and characteristics of airborne point cloud data,and conducted an in-depth exploration of the big data analysis methods for such data,including data preprocessing,feature extraction and selection.Combining actual cases and starting from different terrains,this paper studied the fine classification methods of point clouds under different terrains by considering the parameter changes of point cloud fil-tering and classification algorithms.Through research,the classification parameters under different terrains had been obtained through phased analysis,providing solid theoretical support and practical guidance for relevant research and practices in the field of surveying and mapping.关键词
机载点云/测绘大数据分析/点云预处理/精细化分类Key words
airborne point cloud/surveying and mapping big data analysis/point cloud preprocessing/refined classification分类
测绘与仪器引用本文复制引用
严慧敏..基于机载点云的大数据分析与精细化分类研究[J].江淮水利科技,2025,(2):32-37,6.
