基于机载LiDAR的DEM精细化生成关键技术分析
Key Technology Analysis for High-precision DEM Production Based on Airborne LiDAR
鲁纪岚 1孙瑞阳 1高东方 1杨康1
作者信息
- 1. 华北水利水电大学 水利学院,河南 郑州 450046
- 折叠
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.
Abstract
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 air-borne 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.
关键词
无人机/激光雷达点云/点云处理/数字高程模型Key words
Unmanned aerial vehicle/LiDAR point cloud/Point cloud processing/Digital elevation model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据