LiDAR点云全属性转Cesium的pnts瓦片算法  

Pnts tile algorithm for full attribute conversion of LiDARpoint cloud to Cesium

作　　者：常江 廉旭刚[1] CHANG Jiang;LIAN Xugang(School of Mining Engineering,Taiyuan University of Technology,Taiyuan 030024,China)

机构地区：[1]太原理工大学矿业工程学院,山西太原030024

出　　处：《测绘通报》2024年第9期135-139,共5页Bulletin of Surveying and Mapping

基　　金：山西省自然科学基金面上项目(202203021211153);山西省水利科学技术研究与推广项目(2023GM12)。

摘　　要：Cesium作为性能优异的三维前端可视化框架之一,针对点云数据展示有对应的pnts瓦片格式。LiDAR点云采集手段和应用需求不断扩展,在前端较为完整地显示LiDAR点云有庞大的需求,但是目前行业内应用较广泛的LiDAR点云到pnts瓦片的数据转换方法,只针对点云坐标和颜色等简单属性的转换,限制了有LiDAR点云扫描角属性参与的点云算法在前端中的直接应用。本文针对LiDAR点云的扫描角属性在pnts瓦片中的保存,提出解决方案并完成转换算法,得到挂载LiDAR点云扫描角属性的pnts瓦片;并对影响其加载性能的重要属性的算法和LOD组织调度的策略作出相应的适配。最终得到的pnts瓦片满足Cesium官方规定的加载要求,可以实现需要扫描角属性参与的点云算法在前端的直接应用。As one of the 3D front-end visualization frameworks with excellent performance,Cesium has a corresponding pnts tile format for displaying point cloud data.With the continuous expansion of LiDAR point cloud acquisition methods and application requirements,there is a huge demand for a more complete display of LiDAR point clouds at the front-end.The industry relies heavily on the data conversion method from LiDAR point clouds to pnts tiles.The conversion of simple attributes such as point cloud coordinates and colors limits the direct application of point cloud algorithms involving LiDAR point cloud scanning angle attributes in the front-end.This paper focuses on the preservation of the scanning angle attributes of LiDAR point cloud in pnts tiles,proposes solutions and completes the conversion algorithm research,obtains pnts tiles mounted with LiDAR point cloud scanning angle attributes,and makes corresponding adaptations to the algorithm of important attributes affecting its loading performance and the strategy of LOD organization and scheduling.The final pnts tile meets the official loading requirements of Cesium,and can realize the direct application of the point cloud algorithm in the front-end that requires the participation of scanning angle attributes.

关 键 词：CESIUM pnts瓦片 LIDAR 扫描角 

分 类 号：P237[天文地球—摄影测量与遥感]