摘要
无人机机载激光雷达可以大范围快速获取激光雷达点云数据,具有穿透性强、高自动化、高精度等多项优势。针对传统全站仪测量等方法制作精细DEM效率差、自动化程度低等问题,基于机载LiDAR技术原理,对轨迹解算、点云融合与滤波、DEM生成原理与评价等关键技术进行了分析,制定一种快速生成精细DEM的内业处理流程。结合开封市龙亭区黑岗口风景区1:1000大比例尺测绘项目,验证了流程的可行性。此流程数字化程度高,处理和分析点云速度快,为测区基础地理信息框架的构建提供更高效、准确的三维空间数据。
Unmanned aerial vehicles equipped with LiDAR technology can rapidly acquire extensive LiDAR point cloud data,offering multiple advantages such as strong penetration,high automation,and high precision.In response to the challenges of traditional methods like total station surveys for creating high-precision Digital Elevation Model(DEM),which suffer from low efficiency and automation,an analysis of key technologies,including trajectory estimation,point cloud fusion and filtering,DEM generation principles,and evaluation,has been conducted based on the principles of airborne LiDAR technology.In conjunction with the 1:1000 large-scale mapping project of Hei Gangkou Scenic Area in Longting District,Kaifeng City,the feasibility of the workflow was validate.This highly digitized workflow offers fast point cloud processing and analysis,providing a more efficient and accurate source of three-dimensional geospatial data for constructing the foundational geographic information framework in the surveyed area.
作者
鲁纪岚
孙瑞阳
高东方
杨康
Lu Ji-lan;Sun Rui-yang;Gao Dong-fang;Yang Kang(School of Water Conservancy,North China University of Water Resources and Electric Power,Zhengzhou 450046,China)
出处
《内燃机与配件》
2024年第13期109-112,共4页
Internal Combustion Engine & Parts
关键词
无人机
激光雷达点云
点云处理
数字高程模型
Unmanned aerial vehicle
LiDAR point cloud
Point cloud processing
Digital elevation model
