华东师范大学学报（自然科学版）Issue(2)：38-49,12.DOI:10.3969/j.issn.1000-5641.2013.02.005
一种基于车载激光扫描点云数据的单株行道树信息提取方法
Method for identifying individual street trees from the cloud data of the vehicle-borne laser scanning points
摘要
Abstract
This paper presents a new layered extraction method for identifying laser scanning points that constitute an individual street tree using the grid points density information based on the cloud data of the laser scanning points. The characteristic information, including the height and crown diameter, were derived after an individual tree was identified. The original 3D points cloud data were processed by the following steps: establishing regular grids, layering the points cloud based on elevation value, calculating grid points density for each layer, extracting laser scanning points for each layer, identifying individual tree, and deriving characteristic information. The feasibility of the method was proved through case studies. The results show most of the laser scanning points that constitute an individual tree are extracted correctly. And the derived characteristic information was estimated to be as fairly accurate as the in situ data. The proposed method will expand the application domain of VLS and provide a new approach to the urban green space development and management.关键词
车载激光扫描系统/点云数据/行道树/分层/网格点密度Key words
vehicle-borne laser scanning/ points cloud data/ street trees/ layer/ grid points density分类
天文与地球科学引用本文复制引用
吴宾,余柏蒗,岳文辉,谈文琦,胡春凌,吴健平..一种基于车载激光扫描点云数据的单株行道树信息提取方法[J].华东师范大学学报（自然科学版）,2013,(2):38-49,12.基金项目
国家自然科学基金(41001270) （41001270）
高等学校博士学科点专项科研基金资助课题(新教师类)(20100076120017) （新教师类）
中央高校基本科研业务费专项资金项目 （）
