一种针对行道树残缺点云的三维绿量估计方法  

A Three-dimensional Green Estimation Method for Incomplete Point Clouds of Street Trees

作　　者：刘如飞[1] 马新江 王鹏[1] LIU Rufei;MA Xinjiang;WANG Peng(Geomatics College,Shandong University of Science and Technology,Qingdao,Shandong 266590,China)

机构地区：[1]山东科技大学测绘科学与工程学院,山东青岛266590

出　　处：《遥感信息》2018年第2期53-57,共5页Remote Sensing Information

基　　金：国家重大仪器设备开发专项(2013YQ120343);国家基础测绘科技计划(2016KJ0101);山东科技大学人才引进科研启动基金项目资助(2016RCJJ004)

摘　　要：针对车载移动测量系统获取的行道树激光点云残缺问题,提出了一种基于残缺率加权的三维绿量估计方法。首先计算树冠冠层不同方位上的点云残缺率,然后将平均方位残缺率作为权重计算冠层面积,进一步计算各冠层体积,累计得到树木三维绿量。实验以实际路段35棵行道树为例,对理论模型体积、实际点云体积和残缺率加权估计体积进行对比分析。结果表明,该方法估计的三维绿量更加接近树木的真实值,与标准体积对比的平均偏差为4.1%。Aiming at the problem of incomplete laser point clouds of street trees acquired by vehicle-borne mobile measurement system,a three-dimensional green volume estimation method based on incomplete rate weighting is proposed. The incomplete rates of different azimuths in different canopy are calculated. Almost, the canopy volume of this layer is calculated according to the average incomplete rate of the canopy. The volume of each layer canopy is added to obtain the three-dimensional green of street trees. 35 street trees are taken as an example to compare and analyze the theoretical model green volume, the actual green volume and the green volume based on incomplete rate weighting. The results show that the three-dimensional green volume estimated by this method is closer to the true value of the tree,and the mean deviation from the standard volume comparison is 4. 1%.

关 键 词：三维绿量 车载激光点云 点云缺失 残缺率加权 行道树 

分 类 号：P237[天文地球—摄影测量与遥感]