摘要
为了研究精细三维模型的重建方法,本文采用地面三维激光扫描仪采集地物立面点云,利用无人机倾斜摄影技术生成地物顶部和立面点云,滤除无人机的地面点云后,将二者精配准形成完整的地物点云。通过融合后的点云重建三维建筑物模型和景观小品模型,再从激光点云中过滤出地面点类构建地面模型,将三种模型组合成为完整的三维场景。建模结果表明,所融合点云的相对位置精度为9cm,该建模方法可以保证融合点云数据的完整性和三维模型的准确性,为三维模型的精确重建提供了一种新思路。
In order to study an approach of reconstructing exquisite three-dimensional models, terrestrial three-dimensional laser scanner was adopted to collect facade laser point clouds of objects and unmanned aerial vehicle (UAV) was used to acquire point clouds of top and facade on objects. Two kinds of point clouds were registered to form integral point clouds of objects after removing ground points from UAV. The syncretic point clouds were applied to reconstruct building models and sketch models while ground points filtered from laser point clouds were used to generate terrain model. Three models were combined into integrated three-dimensional scene. The results show that the relative accuracy of syncretic point clouds reached 9cm, this modeling approach can ensure completeness and high accuracy of processed point clouds, provide one new method of precisely rebuild three-dimensional models.
作者
李峰
米晓楠
孙广通
钱安
LI Feng;MI Xiaonan;SUN Guangtong;QIAN An(Department of Disaster Prevention Engineering,Institute of Disaster Prevention,Sanhe 065201,China;Shanxi Climate Center,Taiyuan 030002,China)
出处
《测绘与空间地理信息》
2019年第9期9-12,共4页
Geomatics & Spatial Information Technology
基金
防灾科技学院精品建设课程项目(JPJS2018007)
中央高校基本科研业务费创新团队计划项目(ZY20160102)资助
关键词
激光扫描
无人机
三维模型
点云配准
laser scanning
UAV
three-dimensional models
point clouds co-registration