用于大规模地形测绘的无人机和地面激光扫描仪数据处理

G. Ulziisaikhan, D. Oyuntsetseg
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引用次数: 1

摘要

整合不同来源的空间数据实现可视化,是数字化基础地形图制作的最后一步。数字高程模型和可视化将用于地貌制图、地理空间数据库、城市规划等。世界各国的大比例尺地形测绘是当今地理空间行业面临的一个突出挑战。这项工作的目的是将激光扫描仪数据与无人机航空摄影测量产生的数据相结合,生成详细的地图,供大地测量工程师使用,以优化他们的分析。此外,在蒙古北部地区的夏尔加山采集了陆基激光雷达扫描和无人机摄影测量数据。本文将不同的测量技术和处理软件系统相结合,用于地形测绘的数据处理方案。在WGS84参考椭球上计算的UTM (Universal Transverse墨卡托)投影坐标系。包括地面激光扫描仪数据和无人机数据的特征汇编将集成为提供数字高程模型(DEM)作为地形测绘活动的主要兴趣。使用的无人机可以在没有数据的地区生成高分辨率的正形图和详细的3D模型。这一结果产生了以1:1000的大地测量比例尺制作地形图。初步结果表明,无人机采集的不连续数据与激光扫描仪采集的数据吻合较好。
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UAV and terrestrial laser scanner data processing for large scale topographic mapping
Integrating spatial data from different sources results in visualization, which is the last step in the process of digital basic topographic map creation. Digital elevation model and visualization will used for geomorphological mapping, geospatial database, urban planning and etc. Large scale topographic mapping in the world countries is really a prominent challenge in geospatial industries today. The purpose of this work is to integrate laser scanner data with the ones generated by aerial photogrammetry from UAV, to produce detailed maps that can used by geodetic engineers to optimize their analysis. In addition, terrestrial - based LiDAR scans and UAV photogrammetric data were collected in Sharga hill in the north zone of Mongolia. In this paper, different measurement technology and processing software systems combined for topographic mapping in the data processing scheme. UTM (Universal Transverse Mercator) projected coordinate system calculated in WGS84 reference ellipsoid. Feature compilation involving terrestrial laser scanner data and UAV data will integrated to offer Digital Elevation Models (DEM) as the main interest of the topographic mapping activity. Used UAV generate high-resolution orthomosaics and detailed 3D models of areas where no data, are available. That result issued to create topographic maps with a scale of 1:1000 of geodetic measurements. Preliminary results indicate that discontinuity data collection from UAV closely matches the data collected using laser scanner.
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来源期刊
CiteScore
0.70
自引率
0.00%
发文量
4
审稿时长
8 weeks
期刊最新文献
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