| 一种基于空间网格的地物要素点云提取方法 |
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| 引用本文： | 孙森震,卢小平,杨尚波,朱宁宁,罗玲.一种基于空间网格的地物要素点云提取方法[J].测绘工程,2015(7):53-57. |
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| 作者姓名： | 孙森震 卢小平 杨尚波 朱宁宁 罗玲 |
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| 作者单位： | 河南理工大学 矿山空间信息技术国家测绘地理信息局重点实验室，河南 焦作 454003; 河南省矿山空间信息技术重点实验室，河南 焦作 454003 |
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| 基金项目： | 河南省高校科技创新团队支持计划(14IRTSTHN026)；河南省创新型科技团队支持计划(豫科人组[2014]2号)；河南理工大学2013年度博士基金资助项目(B2013-018)；中铁隧道勘测设计院有限公司技术开放项目 |
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| 摘 要： | LiDAR点云的分类提取是点云数据处理中的首要步骤。为了提高复杂场景中点云数据分类提取方法的适用性,文中根据三维数学形态学思想,提出一种基于地物空间形状特征的点云提取方法。方法首先建立网格索引,划分网格空间,进行点云数据组织,然后根据地物在网格空间中的形状特征设计出四种参数可控的空间网格算子,最后结合点云反射强度信息自动提取特定地物点云。通过对复杂场景中的铁路地物要素LiDAR点云中建筑、电力杆线、铁路轨道的提取和郊区机载LiDAR点云中的地面与建筑屋顶的提取,验证提取算法的适用性,为点云分类提取功能模块的程序设计提供便捷方法。
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| 关 键 词： | LiDAR点云 分类提取 空间网格算子 自动提取 程序设计 |
A method for extraction of the feature elements point clouds based on spatial grid |
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| SUN Sen-zhen,LU Xiao-ping,YANG Shang-bo,ZHU Ning-ning,LUO Ling.A method for extraction of the feature elements point clouds based on spatial grid[J].Engineering of Surveying and Mapping,2015(7):53-57. |
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| Authors: | SUN Sen-zhen LU Xiao-ping YANG Shang-bo ZHU Ning-ning LUO Ling |
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| Abstract: | The primary step in point clouds data processing is the extraction of LiDAR point clouds by classification .In order to improve the adaptability of method for extracting point clouds in complex scenes , this paper puts forward a shape feature point cloud extraction approach based on 3D mathematical morphology .First ,grid index is established and then grid space is divided in order to organize point cloud data well . Second , four controllable spatial grid operators are designed according to the shape characteristics of features in grid space .Last ,the operators combined with reflection intensity information are used to extract the point clouds of specific features automatically .The above method is adopted to extract railway features such as building ,electric power alignment pole in complex scenes and building roofs from airborne LiDAR data in suburbs . The processing result verifies the applicability of the extraction algorithm . This practical method is proposed for program design of function module like extraction of LiDAR point clouds by classification . |
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| Keywords: | LiDAR point cloud classification and extraction space grid operators automatically extract program design |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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