多平台点云数据的单木参数提取精度分析  

Precision analysis of single tree parameter extraction for multi-platform point cloud data

作　　者：周烨 刘云波 郑丽波 龙泱君 ZHOU Ye;LIU Yunbo;ZHENG Libo;LONG Yangjun(College of Civil Engineering,Shaoxing University,Shaoxing 312000,China;Key Laboratory of Rock Mechanics and Geohazards of Zhejiang Province,Shaoxing 312000,China;Zhejiang Institute of Surveying and Mapping Science and Technology,Hangzhou 310030,China)

机构地区：[1]绍兴文理学院土木工程学院,浙江绍兴312000 [2]浙江省岩石力学与地质灾害重点实验室,浙江绍兴312000 [3]浙江省测绘科学技术研究院,浙江杭州310030

出　　处：《测绘通报》2022年第7期168-172,共5页Bulletin of Surveying and Mapping

基　　金：2021年第一批产学合作协同育人项目(202101096002)。

摘　　要：以浙江省海宁市4种代表行道树(广玉兰、无患子、悬铃木、香樟树)为研究对象,结合无人机(UAV)影像和三维激光扫描数据,利用ContextCapture、LiDAR360软件完成点云拼接、滤波、降噪和编辑,通过迭代最近点算法实现点云精细匹配,完成多平台点云数据融合,进而得到数字表面模型与数字高程模型,并制作冠层高度模型;采用分水岭分割算法对不同行道树树种的冠层高度模型进行单木分割,并综合局部最大值法实现单木树高、冠幅的参数提取。结果表明,本文方法进行行道树单木分割的精度高,树高、冠幅参数提取值的效果好,满足行道树几何参数调查要求。Four representative street trees(magnolia grandiflora,sapindus mukorossi,platanus acerifolia,cinnamomum camphora)in Haining city,Zhejiang province are selected as research objects.Combined with unmanned aerial vehicle(UAV)images and 3D laser scanning data,the point cloud splicing,filtering,noise reduction and editing are completed by using ContextCapture and LiDAR 360 software,and the point cloud fine matching is achieved by iterative closest point algorithm.Complete multi-platform point cloud data fusion,obtain digital surface model and digital elevation model and make canopy height model on this basis;Watershed segmentation algorithm is used to segment CHM of different street tree species,and local maximum method is integrated to extract parameters of single tree height and crown width.The data show that the proposed method can achieve high precision of single tree segmentation,and the extraction effect of tree height and crown width is good,which meets the requirements of street tree geometric parameter investigation.

关 键 词：行道树 无人机影像 三维激光扫描 冠层高度模型 分水岭分割算法 树高 冠幅 

分 类 号：P208[天文地球—地图制图学与地理信息工程]