LiDAR点云自适应坡度邻域体系研究  

Slope adapted neighborhood for airborne laser data

作　　者：杨晓云[1] 梁郁[1] 梁鑫[1] 

机构地区：[1]广西科技大学土木建筑工程学院,广西柳州545006

出　　处：《广西工学院学报》2013年第3期49-52,62,共5页Journal of Guangxi University of Technology

基　　金：广西高等教育教学改革工程项目(2013JGB450);新世纪广西高等教育教学改革工程"十一五"立项项目(2009C063)资助

摘　　要：邻域体系的定义对LiDAR点云分割至关重要,研究通过分析现有邻域定义方法及局限性,并在已有研究基础上引出Filin等人提出的自适应坡度的邻域体系,利用新的邻域体系计算LiDAR点的法向量,与TIN邻域的计算结果进行比较,实验结果表明新的邻域体定义方法可以有效提高特征参数的计算可靠性和精度,有利于LiDAR的后续处理和应用.The definition of neighborhood system is important for LiDAR segmentation. The paper demonstrates several types of neighborhood that reveals deficiencies in application. Then a new neighborhood system is introduced in the paper, namely slope adapted neighborhood proposed by Filin. The estimation of surface normals by the proposed systems is compared to the triangulation. The test results show a significant improvement reliability and quality of the estimation, which is benefit for subsequent applications of LiDAR.

关 键 词：LIDAR 邻域 距离 自适应坡度 

分 类 号：TP316[自动化与计算机技术—计算机软件与理论]