基于无人机影像数据的三维景观图制作研究

Research on 3D Landscape Map Making Based on UAV Image Data

城中村复合目标自动高精度三维重建是城市三维重建及城中村变化监测的重要环节,而典型城中村区域通常是高、低不同的建筑物并存,房屋比较密集,从而影响了目标三维模型的精度。针对这一问题,本文提出一种利用无人机序列影像和POS数据自动生成TIN点云模型、格网DSM和DOM的方法,并通过DOM与DSM的叠加,制作出该研究区的城中村三维数字模型,验证了利用无人机数据进行城中村三维模型的有效性;此外,通过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。

Automatic high-precision 3D reconstruction of compound targets in urban villages is an important link in urban 3D reconstruction and change monitoring of urban villages.In the typical urban village area,high and low buildings coexist,and houses are relatively dense,which affects the accuracy of the 3D model of the object.To solve this problem,this paper proposes a method to automatically generate TIN point cloud model,grid DSM and DOM by using UAV sequence images and POS data.Through the superposition of DOM and DSM,a three-dimensional digital model of the urban village in the study area is produced,which verifies the effectiveness of using UAV data to carry out the three-dimensional model of the urban village.In addition,by comparing the differences between 3D models under different conditions,the relationship between the accuracy of grid DSM and the extraction density of point clouds,point cloud filtering and grid size is analyzed.