摘要
基于无人机倾斜摄影(UAV)技术获取三维地形数据已经广泛应用,然而无人机获取的河流地形数据是一种数字表面模型(DSM),其高程值常包含树木或草的高度。它与河流调查所需的数字高程模型(DEM)不同。该研究使用区域增长算法,从无人机点云数据提取地面点。为了评估DEM数据的准确性,使用虚拟参考站(VRS)和全站仪测量设备获得了100个测试点的真实值进行精度验证。结果表明,DSM和DEM的高程标准偏差分别为±3.84 m和±0.12 m。可以通过应用基于区域增长算法的无人机点云来生成DEM,并将其有效地用于河流管理中。
It is widely used to obtain 3D terrain data based on UAV technology.However,the UAV acquired river terrain data is a digital surface model(DSM)that includes the height of a tree or grass in a river.It is different from the digital elevation model(DEM)required by river surveys.In this study,the ground point was extracted by using point cloud point obtained from UAV with Terra Scan software,and the DEM were constructed using the region growth algorithm.In order to evaluate the accuracy of the DEM data,making accuracy checking by the TRUE value of 100 test points was obtained by using virtual reference station(VRS)and total station survey equipment.As a result,the elevation standard deviation of DSM and DEM were±3.84 m and±0.12 m,respectively.Therefore,DEM can be secured by applying the UAV point cloud based on region growth algorithm,and it can be effectively used for the river management tasks.
作者
李祖勤
LI Zuqin(Fujian Institute of Surveying and Mapping,Fuzhou,Fujian 350003,China)
出处
《龙岩学院学报》
2022年第2期77-80,共4页
Journal of Longyan University
