摘要
从激光点云数据中对地物和实体的提取是目前的一个热点研究问题。针对这一问题,利用树木在分形理论中非整数维的特点,在从激光数据中提取地物边界的基础上,提出了从激光数据中提取树木的新方法。利用该方法成功地从激光数据中提取了树木。经验证,该方法能较准确地实现激光数据中树木的提取,为今后的自动化提取打下基础。
The extraction of features and entities from laser point cloud data is currently a hot researching subject.To further address this issue,in this paper we proposed a new method to extract trees from laser data by utilising the characteristic of trees being non integer-dimension in fractal theory and on the basis of extracting feature boundary from it.The method is successfully used to have extracted trees from laser data.It is certified that the method can extract trees from laser data accurately and lay a foundation for automated extraction in future.
出处
《计算机应用与软件》
CSCD
2010年第10期249-250,254,共3页
Computer Applications and Software
关键词
分形
激光数据
树木
Fractal
Laser scanner data
Tree