摘要
河流地区的地理空间信息对于河流管理(如河流规划、洪水分析和泥沙负荷分析)至关重要,基于无人机(UAV)技术获取三维地形数据已被广泛应用。然而,无人机获取的河流地形数据是一种数字表面模型(DSM),其中包括河流中树木或草的高度,它与河流调查所需的数字高程模型(DEM)不同。本文运用区域增长算法,从无人机获得的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,结果,DSM和DEM的标准偏差分别为±3.84m和±0.12m,此外,DEM的横截面在峡河基本规划报告中显示出与横截面相似的高程值。因此,可以通过应用基于区域增长算法的无人机点云数据来生成DEM,并将其有效地用于河流管理中。
Geospatial information of river area is very important for river management(such as river planning,flood analysis and sediment load analysis).The acquisition of 3D terrain data based on unmanned aerial vehicle(UAV)technology has been widely used,however,the river terrain data obtained by UAV is a digital surface model(DSM),which includes the height of trees or grass in the river.It is different from the digital elevation model(DEM)re-quired for river survey.In this paper,we use region growing algorithm to extract ground points from point cloud data obtained by UAV.In order to evaluate the accuracy of DEM data,the virtual reference station(VRS)and total station measuring equipment were used to obtain the true values of 100 test points.Results:The standard deviations of DSM and DEM were±3.84m and±0.12m,respectively.In addition,the cross section of DEM shows eleva-tion values similar to the cross section in the Xiahe River Basic Planning Report.Therefore,DEM can be generated by applying UAV point cloud based on region growth algorithm and effectively used in river management.
作者
黄文新
HUANG Wenxin(Guangxi Zhenkai Technology Co.,Ltd.,Nanning,Guangxi Zhuang Autonomous Region,530200 China)
出处
《科技创新导报》
2022年第29期177-180,共4页
Science and Technology Innovation Herald
关键词
无人机
点云数据
区域生长法
河流地形
UAV
Point cloud
Region growing method
River terrain data
