Research on Automatic Extraction Technology of Building Height Information
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 acqui-sition methods have low efficiency and high cost. This paper introduces a method for quickly and automatically extracting a large a-mount 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 ac-curacy is less than 1 meter,which reflects the advantages of the method in this paper in terms of cost,efficiency and accuracy.