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| 基于车载激光扫描数据的电线杆自动识别与定位 | |
| 引用本文： | 邹晓亮,于英,张永生,赵桂华.基于车载激光扫描数据的电线杆自动识别与定位[J].测绘科学,2012,37(2):91-93. |
| 作者姓名： | 邹晓亮 于英 张永生 赵桂华 |
| 作者单位： | 1. 信息工程大学测绘学院,郑州450052;61363部队,西安710054;东华理工大学江西省数字国土重点实验室,江西抚州344000 2. 信息工程大学测绘学院,郑州450052;东华理工大学江西省数字国土重点实验室,江西抚州344000 3. 信息工程大学测绘学院,郑州,450052 |
| 基金项目： | 东华理工大学江西省数字国土重点实验室开放基金(DLLJ2010006,DLLJ2010001) |
| 摘 要： | 本文对车载激光扫描数据进行了研究,将投影点密度(DoPP)与电线杆的几何特点相结合,提出了一种基于激光扫描数据的电线杆自动识别和定位的方法。首先,将车载测量系统获取的激光点云投影到水平面,建立水平格网,设置投影点密度阈值分类出杆状地物所在的格网区域;然后将分类得到的杆状数据拟合成为一条空间直线,以电线杆的几何特性作为期望值和方差,自动识别电线杆;最后,该空间直线与地面网格相交确定电线杆的定位位置。本文算法与T3D Analyst商用软件提取的电线杆进行比较,实验结果表明本文方法行之有效。 |
| 关 键 词： | 移动车载激光扫描系统 投影点密度 激光雷达 网格 点云 电线杆自动识别与定位 |
Automatic identification and positioning of poles based on vehicle laser scanning data |
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| ZOU Xiao-liang , YU Ying , ZHANG Yong-sheng , ZHAO Gui-hua.Automatic identification and positioning of poles based on vehicle laser scanning data[J].Science of Surveying and Mapping,2012,37(2):91-93. | |
| Authors: | ZOU Xiao-liang YU Ying ZHANG Yong-sheng ZHAO Gui-hua |
| Institution: | ①②③(① Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China;②Troops 61363,Xi’an 710054,China;③Digital Land Key Laboratory of Jingxi Province,East China Institute of Technology,Jiangxi Fuzhou 344000,China) |
| Abstract: | The research focused on laser scanning data captured by vehicle-borne laser scanning system.A method of automatic identification and positioning of poles was proposed based on the ideas of density of projected points(DoPP) and geometrical characteristic of pole.Firstly,points cloud were projected to a horizontal plane,grids and its codes were added according to the distribution of projected density and the value of DoPP was computed.Secondly,the sub-area of points cloud was classified by the initial value of projection density.Due to poles have the property of constant height,constant diameter and erect in an upright position,poles of projection have high density and area convergence in grids then.A spatial line was fitted to point cloud of pole,set up the value of expectation and variance of pole,the poles were detected and positioned with the intersection point between the earth grid planes and the line finally.Compared with the results of auto pole detection in T3D Analyst software,the method was very available and robust. |
| Keywords: | vehicle-borne laser scanning system density of projected points(DoPP) LiDAR grid point cloud automatic identification and positioning of poles |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |