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空间域分割的机载LiDAR数据输电线快速提取
引用本文:刘正军,梁静,张继贤.空间域分割的机载LiDAR数据输电线快速提取[J].遥感学报,2014,18(1):61-76.
作者姓名:刘正军  梁静  张继贤
作者单位:中国测绘科学研究院, 北京 100830;中国测绘科学研究院, 北京 100830;中国矿业大学环测学院 江苏省资源环境信息工程重点实验室, 江苏 徐州 221116;河南省遥感测绘院, 河南 郑州 450003;中国测绘科学研究院, 北京 100830
基金项目:国家科技支撑计划项目(编号:2012BAB16B01);南方电网公司重点科技项目
摘    要:机载LiDAR具有快速、直接获取地物3维坐标的能力,在电网高压输电线路安全巡检中具有较大的应用前景。论文针对机载LiDAR输电线智能巡检的需求,提出并实现了一种基于空间域分割的LiDAR点云数据输电线自动提取方法。该方法首先利用高程直方图统计法去除地面点,再次利用点云密度差异剔除杆塔,根据相邻线之间的距离差和相邻层的高程差进行单根输电线分离。最后,采用多项式模型在3维空间中重构每根输电线空间坐标。实验结果表明该方法能够快速自动地提取多个杆塔之间的多根输电线数据,具有一定的工程应用价值。

关 键 词:输电线提取  空间域分割  机载LiDAR  高程直方图  杆塔提取
收稿时间:8/6/2012 12:00:00 AM
修稿时间:8/5/2013 12:00:00 AM

Power lines extraction from airborne LiDAR data using spatial domain segmentation
LIU Zhengjun,LIANG Jing and ZHANG Jixian.Power lines extraction from airborne LiDAR data using spatial domain segmentation[J].Journal of Remote Sensing,2014,18(1):61-76.
Authors:LIU Zhengjun  LIANG Jing and ZHANG Jixian
Institution:Chinese Academy of Surveying and Mapping, Beijing 100830, China;Chinese Academy of Surveying and Mapping, Beijing 100830, China;College Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221166, China;Henan Provincial Remote Sensing and Mapping Institute, Zhengzhou 450003, China;Chinese Academy of Surveying and Mapping, Beijing 100830, China
Abstract:Airborne LiDAR is now becoming a rapid method to acquire three-dimensional coordinates of the ground objects automatically, which has great potential applications on power lines inspection. According to the demand of the intelligent power lines inspection, a power lines extraction method based on spatial domain segmentation was proposed in this paper. First, the method adopted the elevation histogram statistical method to remove ground objects. Second, pylons along the corridor were identified based on the difference of the point cloud density. Third, single power lines was isolated from each other based on the distance threshold between two neighborhood lines and height threshold between two neighborhood level of lines using a spatial domain segmentation algorithm. Finally, a simplified polynomial model was applied to model the geometry of each power line in three-dimensional space. Experimental results showed that the method can be applied to extract power lines with multiple spans simultaneously, and demonstrated its potential advantages in power-lines inspection application.
Keywords:power lines extraction  spatial domain segmentation  airborne LiDAR  elevation histogram  pylon extraction
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