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基于机载激光点云和卫星遥感数据构建地形级实景三维地理场景

Constructing Terrain Level Realistic 3D Geographic Scene Based on A irborne Laser Point Cloud and Satellite Remote Sensing Data
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摘要 地形级地理场景作为地形级实景三维的重要组成部分,按照实景三维中国建设的要求,省级层面要定期、按需进行时序化更新表达。为提升构建地形级地理场景的精度和效率,本文利用机载激光点云数据,国产高景卫星遥感影像,通过Terrasolid对机载激光点云进行分类,利用中值和高斯滤波进行平滑处理,获取DSM、DEM;通过PixelGrid分布式并行技术处理高分辨率卫星遥感数据,获取DOM,快速实现地形级实景三维场景。实验结果证明,该方法自动化程度高,成果精度可靠,可应用于大面积地形级实景三维地理场景的生产。 As an important part of entities for terrain-level 3DRS,the terrain level geographic scene should be regularly updated and expressed in a chronological manner at the provincial level according to the requirements of 3D China construction.In order to improve the accuracy and efficiency of building terrain level geographical scenes,this paper uses airborne laser point cloud data,domestic high-view satellite remote sensing images,classifies airborne laser point clouds through Terrasolid,and smoothes them using median and Gaussian filtering to obtain DSM and DEM;The PixelGrid distributed parallel technology is used to process high-resolution satellite remote sensing data,obtain DOM,and quickly realize entities for terrain-level 3DRS.The experimental results show that the method has high automation and reliable accuracy,and can be applied to the production of large area terrain level real 3D geographical scenes.
作者 任光耀 侯恩兵 REN Guangyao;HOU Enbing(The Second Surveying and Mapping Institute of Anhui Province,Hefei 230601,China)
出处 《测绘与空间地理信息》 2023年第9期76-78,82,共4页 Geomatics & Spatial Information Technology
基金 2022年度安徽省自然资源科技项目——构建以基础地理实体为核心地形级实景三维的研究(2022-K-5)资助。
关键词 地形级实景三维 地理场景 高景卫星影像 机载激光点云 中值滤波 高斯滤波 terrain level realistic 3D geographical scene high-view satellite images airborne laser point cloud median filtering Gaussian filtering
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