摘要
针对城中村存在房屋比较密集,高、低不同的建筑物并存,典型三维目标模型精度较低的问题,本文采用无人机序列影像和POS数据通过密集匹配自动生成点云数据、构建TIN点云模型、规则格网DSM和DOM的方法,并利用DOM与DSM的叠加,制作该研究区的城中村三维数字模型。通过实验,验证利用无人机数据进行城中村三维模型的有效性,比较不同情况下三维模型间的差异,分析格网DSM的精度与点云的提取密度、点云过滤和格网尺寸的关系。
In view of the problems of high and low buildings coexisting in typical urban village areas,dense houses and low accuracy of 3 D target model,this paper proposesa method to automatically generate tin point cloud model,grid DSM and DOM by using UAV sequence images and POS data.By using the superposition of DOM and DSM,the three-dimensional digital model of the village is produced.The validity of the 3 D model of village is verified.By comparing the differences of three-dimensional models obtained in different situations,the relationship between the accuracy of grid DSM and theextraction density of point clouds,the point cloud filtering and the grid size is analyzed.
作者
武风英
包鹏章
张占平
Wu Fengying;Bao Pengzhang;Zhang Zhanping(Qinghai Basic Surveying and Mapping Institute,Xining,810001,China)
出处
《工程勘察》
2020年第5期68-74,共7页
Geotechnical Investigation & Surveying
关键词
三维建模
无人机
DSM
城中村
点云
3D reconstruction
UAV
DSM
urban village
point cloud