摘要
提出一种基于机载激光雷达系统LiDAR数据树木可视化建模的方法。利用机载LiDAR数据的特点,结合L-系统分形的思想,对传统的L-系统方法进行随机化、参数化的扩展和改进,由此对数据进行建模。针对LiDAR数据分布空间由内到外的层次特点,采取分步的建模策略,在外层建立从LiDAR数据中提取L-系统参数的方法。实验结果表明,该方法具有较好的建模效果,适用于三维数字城市、虚拟现实以及林业领域。
This paper presents a new tree-modeling approach based on Light Detection and Ranging（LiDAR） data with improved L-system algorithm. Some extend of the parameters are made and randomization is compared with the traditional functions. The laser points are used to extract the algorithm parameters and analyze the tree characteristics. The function＇s result is a reconstruction of the 3D tree model which has similar features with laser points and values of tree height, crown diameter. Experimental results validate the approach provides ideal results and plays an important role in LiDAR application to the 3D GIS, virtual reality and field of forestry.
出处
《计算机工程》
CAS
CSCD
2012年第4期1-3,共3页
Computer Engineering
基金
国家"973"计划基金资助项目(2009CB72400704)
武汉大学博士生自主科研基金资助项目(20102130201000135)
关键词
LiDAR系统
点云数据
参数化L-系统
三维树木模型
Light Detection and Ranging（LiDAR） system
point cloud data
parameterize L-system
3D tree model
