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基于激光点云数据电力线的提取及安全检测 被引量:24

Extraction and Security Detection of Power Line Based on Laser Point Cloud Data
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摘要 为了研究机载激光雷达(light detection and ranging,Li DAR)点云数据的电力线提取以及安全距离检测,首先利用Terra Scan软件重现机载Li DAR激光点云空间的分布,采用人工交互以及移动激光点拟合法,对激光点云数据进行分类,提取电力线上的数据点,构建电力线三维模型;然后通过检测电力线上的激光点与其他地物、建构筑物激光点之间的距离,与设定的阈值进行比较,生成安全距离检测报表。实验结果表明,该方法能够精确有效地提取电力线数据并进行安全检测,对电力巡线工程具有一定的实际应用价值。 In order to study the power line extraction and safe distance detection of point cloud data of airborne lidar (LiDAR). Firstly, the distribution of LiDAR laser point cloud space is reconstructed by using TerraScan software. By using human interaction and moving laser point fitting method, the data of laser point cloud are classified, the data points on the power line are extracted and the three-dimensional model of power line is constructed. Then the safety distance detection report is generated by detecting the distance between the laser spot on the power line and other objects and the laser point in buildings, and comparing with the set threshold value. The experimental results show that the method can accurately and effectively extract the power line data and carry out safety inspection, which has certain practical application value to the power transmission line project.
出处 《激光杂志》 北大核心 2017年第7期48-51,共4页 Laser Journal
基金 国家自然科学基金面上项目(41371406) 南方电网公司重点科技项目课题(GD-KJXM-20150903)
关键词 遥感 机载激光雷达 电力线提取 移动激光点拟合 安全检测 remote sensing airborne lidar power line extraction moving laser point fitting security detection
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