建筑物高度快速自动化提取技术研究  

Research on Automatic Extraction Technology of Building Height Information

作　　者：江舒静 卢智婷 邹镰钊 JIANG Shujing;LU Zhiting;ZOU Lianzhao(Guangzhou Urban Planning and Design Survey Research Institute Co.,Ltd.,Guangzhou 510060,China)

机构地区：[1]广州市城市规划勘测设计研究院有限公司,广东广州510060

出　　处：《测绘与空间地理信息》2024年第10期42-45,共4页Geomatics & Spatial Information Technology

基　　金：广东省城市感知与监测预警企业重点实验室基金项目(2020B121202019);广州市资源规划和海洋科技协同创新中心项目(2023B04J0301,2023B04J0326)资助。

摘　　要：建筑物高度信息在智慧城市建设、城市规划等工作中有着日益重要的作用,快速自动化获取建筑物高度的需求日益迫切。目前,常用的建筑物高度获取方法效率低、成本高。本文介绍一种基于LiDAR点云、地形图等数据快速自动化提取大量建筑物高度信息的方法,并选取广州市历史城区20 km^(2)进行试验,最后将成果与人工内业或外业等不同方法进行精度、效率比对。本文提出的方法效率比人工内业方法提高20倍,比人工外业成本大幅降低、效率明显提升,且精度均达到1 m以内,从成本、效率和精度方面体现了本文方法的优势。Building height information plays an increasingly important role in smart city construction and urban planning,and there is an increasingly urgent need to quickly and automatically obtain building heights.At present,the commonly used building height acquisition methods have low efficiency and high cost.This paper introduces a method for quickly and automatically extracting a large amount of building height information based on LiDAR point cloud,topographic map and other data,and selects 20 square kilometers of the historical urban area of Guangzhou for experiment,and finally compares the accuracy and efficiency with different methods such as manual work or field work.The efficiency of the method proposed in this paper is 20 times higher than that of the manual internal work method,the cost is greatly reduced,the efficiency is significantly improved compared with the manual field work method,and the accuracy is less than 1 meter,which reflects the advantages of the method in this paper in terms of cost,efficiency and accuracy.

关 键 词：建筑物高度 自动化 LIDAR点云 

分 类 号：P225[天文地球—大地测量学与测量工程]