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

华东师范大学学报(自然科学版) ›› 2013, Vol. 2013 ›› Issue (2): 38-49.

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

吴宾¹，余柏蒗¹，岳文辉¹，谈文琦²，胡春凌²，吴健平¹

1. 华东师范大学地理信息科学教育部重点实验室，上海 200062；
2. 上海市绿化与市容管理信息中心，上海 200040

收稿日期:2012-03-01 修回日期:2012-06-01 出版日期:2013-03-25 发布日期:2013-03-20

Method for identifying individual street trees from the cloud data of the vehicle-borne laser scanning points

WU Bin ¹, YU Bai-lang ¹, YUE Wen-hui ¹, TAN Wen-qi ², HU Chun-ling ², WU Jian-ping ¹

1. Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China;
2. Shanghai Landscape and City Appearance Administration Information Center, Shanghai 200040, China

Received:2012-03-01 Revised:2012-06-01 Online:2013-03-25 Published:2013-03-20

摘要/Abstract

摘要： 提出了一种基于分层网格点密度的单株树信息提取方法，从车载激光扫描点云数据中提取出组成单株行道树的激光点，并计算树高、冠幅等特征信息.该方法由建立规则网格，基于高程的点云分层，逐层计算网格点密度，逐层提取激光点，提取单株行道树和计算特征等步骤构成.通过实例证明，提取结果较好地保留了组成单株行道树的激光点，并能较准确地计算特征信息.该方法拓展了车载激光扫描系统的应用领域，并可为城市绿化管理提供新的技术方法.

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

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.

Key words: vehicle-borne laser scanning, points cloud data, street trees, layer, grid points density

中图分类号:

P237
TN249

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, 2013(2): 38-49.

WU Bin, YU Bai-lang, YUE Wen-hui, TAN Wen-qi, HU Chun-ling, WU Jian-ping. Method for identifying individual street trees from the cloud data of the vehicle-borne laser scanning points[J]. Journal of East China Normal University(Natural Sc, 2013, 2013(2): 38-49.

参考文献

［1］ STOVIN V R, JORGENSEN A, CLAYDEN A. Street trees and stormwater management ［J］. The Arboricultural Journal, 2008, 30(4): 297-310. 

［2］ RIES K, EICHHORN J. Simulation of effects of vegetation on the dispersion of pollutants in street canyons ［J］. Meteorologische Zeitschrift, 2001, 10(4): 229-233.

［3］ GROMKE C, BUCCOLIERI R, DI SABATINO S, et al. Dispersion study in a street canyon with tree planting by means of wind tunnel and numerical investigations-Evaluation of CFD data with experimental data ［J］. Atmospheric Environment, 2008, 42(37): 8640-8650. 

［4］ ALI-TOUDERT F, MAYER H. Effects of asymmetry, galleries, overhanging facades and vegetation on thermal comfort in urban street canyons ［J］. Solar Energy, 2007, 81(6): 742-754. 

［5］ FANG C F, LING D L. Investigation of the noise reduction provided by tree belts ［J］. Landscape and Urban Planning, 2003, 63(4): 187-195.

［6］ MANANDHAR D, SHIBASAKI R. Vehicle-borne Laser Map-ping System(VLMS) for 3-D Urban GIS Database［C］//7th Internatioanal Conference on Computers in Urban Planning and Urban Management ［CD-ROM］. University of Hawaii at Manoa, USA, 2001.

［7］ TALAYA J, ALAMUS R, BOSCH E. Integration of A Terrestrial Laser Scanner with GPS/IMU Orientation Sensors［C］//International Society for Photogrammetry and Remote Sensing, Istanbul Turkey, 2004: 12-23. 

［8］卢秀山,李清泉,冯文灏,等.车载式城市信息采集与三维建模系统［J］. 武汉大学学报: 工学版,2003(3): 76-80. 

［9］吴芬芳, 李清泉, 熊卿. 基于车载激光扫描数据的目标分类方法［J］. 测绘科学, 2007, 32(4): 75-77. 

［10］ WOO H, KANG E, WANG S Y, et al. A new segmentation method for point cloud data ［J］. International Journal of Machine Tools & Manufacture, 2002, 42(2): 167-178.

［11］ WANG M, TSENG Y H. Automatic segmentation of lidar data into coplanar point clusters using an octree-based split-and-merge algorithm［J］. Photogrammetric Engineering and Remote Sensing, 2010, 76(4): 407-420.

［12］ WANG M, TSENG Y H. Incremental segmentation of lidar point clouds with an octree-structured voxel space ［J］. The Photogrammetric Record, 2011, 26(133): 32-57.

［13］ ELSEBERG J, BORRMANN D, NUCHTER A. Full wave analysis in 3D laser scans for vegetation detection in urban environments［C］// Information, Communication and Automation Technologies (ICAT), 2011: 1-7.

［14］ CHOI Y W, JANG Y W, LEE H J, et al. Three-dimensional lidar data classifying to extract road point in urban area ［J］. IEEE Geoscience and Remote Sensing Letters, 2008, 5(4): 725-729.

［15］ LAI K, FOX D. Object recognition in 3D point clouds using web data and domain adaptation［J］. The International Journal of Robotics Research, 2010, 29(8): 1019-1037.

［16］ RUSU R B, COUSINS S. 3D is here: Point Cloud Library(PCL)［C］//International Conference on Robotics and Automation (ICRA),2011: 1-4.

［17］ DOUILLARD B, UNDERWOOD J, KUNTZ N, et al. On the Segmentation of 3D LIDAR Point Clouds［C］//International Conference on Robotics and Automation (ICRA),2011: 2798-2805.

［18］史文中,李必军,李清泉.基于投影点密度的车载激光扫描距离图像分割方法［J］. 测绘学报, 2005, 34(2): 95-100. 

［19］杨必胜,魏征,李清泉,等.面向车载激光扫描点云快速分类的点云特征图像生成方法［J］. 测绘学报, 2010(5): 540-545.

［20］ LEHTOMKI M, JAAKKOLA A, HYYPP J, et al. Detection of vertical pole-like objects in a road environment using vehicle-based laser scanning data［J］. Remote Sensing, 2010(2): 641-664.

［21］ LIN Y, JAAKKOLA A, HYYPP J, et al. From TLS to VLS: Biomass estimation at individual tree level［J］. Remote Sensing, 2010(2): 1864-1879.

［22］ TEAGUE M R. Image-analysis via the general theory of moments［J］. Journal of the Optical Society of America, 1980, 70(8): 920-930.

［23］ MULCHRONE K F, CHOUDHURY K R. Fitting an ellipse to an arbitrary shape: implications for strain analysis［J］. Journal of Structural Geology, 2004, 26(1): 143-153.