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车载激光扫描数据中杆状地物提取 被引量:23

Extraction of rod-like objects from vehicle-borne LiDAR data
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摘要 针对车载激光扫描数据中对杆状地物提取效果不够理想的问题,该文提出一种基于聚类的杆状地物提取方法。首先将原始点云投影到水平面并进行格网划分,以单个格网为数据处理单元去除地面点;再基于处理数据对格网进行点云探测并编号,赋予同一属性值利用八邻域搜索对地物点聚类;然后以聚类后单个点云块为处理单元,利用各类地物特征,如高度、投影点密度、投影面积及形状等,逐步排除其他地物点,实现对杆状地物的精细提取。试验验证了文中所述方法对道路环境中杆状地物提取的有效性。 For that highlighting mapping details and enhancing the efficiency of execution in topo- graphic mapping internship, this paper put forward a semi digitized topographic mapping internshi Pscheme, which was compromised between simulative topographic mapping and digitized topographic mapping. Although the scheme adopted digital instruments, the data acquisition still used old method in simulative topographic mapping. The data was gathered and recorded in table. For cutting down the time consuming in plot, a new coordinates mapping method was proposed based on coordinates ruler that inven- ted by this paper. The plot work was speeded up based on remainder of 50m by using new ruler, and a quarter of a circular arc at the top-right corner could enhance the accuracy of plot. Experimental results showed that this method was better than traditional scheme.
出处 《测绘科学》 CSCD 北大核心 2015年第8期42-46,46,共5页 Science of Surveying and Mapping
基金 国家自然科学基金项目(41001304) 国家十二五科技支撑计划项目(2012BAH34B) 测绘地理信息公益性行业科研专项经费项目(201412020)
关键词 车载LiDAR 格网划分 八邻域搜索 聚类 杆状地物 semi digitization topographic mapping coordinate ruler teaching reform
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