一种基于SX10点云的单株树木骨架点提取方法  

Extraction method of single tree skeleton points based on SX10 point cloud

作　　者：林志东 何原荣 庄崯国 LIN Zhidong;HE Yuanrong;ZHUANG Yinguo(Zhangzhou Tong Zheng Survey and Design Institute Co.,Ltd.,Zhangzhou 363000,China;The College of Computer and Information Engineering,Xiamen University of Technology,Xiamen 361024,China;Big Data Institute of Digital Natural Disaster Monitoring in Fujian,Xiamen University of Technology,Xiamen 361024,China)

机构地区：[1]漳州通正勘测设计院有限公司,福建漳州363000 [2]厦门理工学院计算机与信息工程学院,福建厦门361024 [3]数字福建自然灾害监测大数据研究所,福建厦门361024

出　　处：《测绘通报》2020年第3期160-162,共3页Bulletin of Surveying and Mapping

摘　　要：骨架点是单株树木几何模型重建的基础。本文结合水平集、聚类方法和图论3种方法,采用ILMSVP和天宝SX10获取模拟与实测单株树木点云数据,并实现单株树木骨架点提取,其中模拟数据用于方法实现,实测数据用于验证。为解决单株树木点云数据缺失情况,本文重复利用水平集、聚类方法和图论方法得到较完整的单株树木骨架点。结果表明:本文采用的单株树木骨架点提取方法可行。Skeleton point is the basis of geometric model reconstruction of single tree. This paper combines three methods of level set,clustering and graph theory to extract skeleton points of single tree by using LIMSVP and Trimble SX10 to obtain point cloud data of simulated and measured single tree,and realize the skeleton point extraction of single tree. The simulation data is used for method implementation and the measured data is used for verification. In order to solve the problem of missing point cloud of single tree,three methods of level set,clustering and graph theory are reused to obtain more complete skeleton point of single tree. The results show that the method of extracting skeleton points of single tree is feasible.

关 键 词：点云数据 骨架点 邻域图 测地图 ILMSVP 天宝SX10 

分 类 号：P237[天文地球—摄影测量与遥感]