基于大数据挖掘的城市空间信息构建方法  

Urban spatial information construction method based on big data mining

作　　者：田峰 许丽杰 TIAN Feng;XU Lijie(May 19th Brigade of North China Geological Exploration Bureau,Baoding 071000,China)

机构地区：[1]华北地质勘查局五一九大队,河北保定071000

出　　处：《中国高新科技》2025年第3期149-151,共3页

摘　　要：由于传统方法在城市空间信息构建应用中效果不佳,信息均方根误差较大,无法达到预期的构建效果。文章提出基于大数据挖掘的城市空间信息构建方法。利用激光雷达技术采集城市空间坐标信息与遥感图像信息,通过对数据预处理提取每个扫描点在遥感图像中的测距信息,利用大数据挖掘技术对信息匹配,并通过坐标系转换建立城市空间信息。实验结果表明,文中的设计方法构建城市空间信息,均方根误差在3mm以内,具有良好的可行性与可靠性。Due to the poor effect of traditional methods in urban spatial information construction application,the root mean square error of information is large,and the expected construction effect cannot be achieved.The article proposes a method of building urban spatial information based on big data mining.LiDAR technology collects urban space coordinate information and remote sensing image information,extracts the distance measurement information of each scanning point in the remote sensing image through preprocessing of data,uses big data mining technology to match the information,and establishes urban space through coordinate system conversion information.The experimental results show that the design method in the article constructs urban spatial information,with a root mean square error of less than 3mm,which has good feasibility and reliability.

关 键 词：大数据挖掘 城市空间信息 激光雷达技术 信息匹配 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]