| 基于LiDAR点云特征和模型拟合的高压线提取 |
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| 作者姓名： | 杨渊 陈凤翔 虢韬 时磊 王成 罗鑫 |
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| 作者单位： | 1. 贵州电网有限责任公司输电运行检修分公司, 贵阳 550002;
2. 中国科学院遥感与数字地球研究所数字地球重点实验室, 北京 100094;
3. 贵州电力设计研究院, 贵阳 550002 |
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| 基金项目： | 国家科技部重大科学仪器设备开发专项（2013YQ120343）资助 |
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| 摘 要： | 高压线数字化是数字电网建设和线路智能巡检的核心内容，机载LiDAR在高压线三维数字重建中具有独特的优势。提出一种从输电走廊机载LiDAR点云数据自动快速高精度提取完整电力线点的方法。首先基于点云的空间分布特征粗提取电力线点，并通过改进Hough变换和RANSAC抛物线拟合法剔除噪点，然后分别进行电力线在平面和垂直面上的分股，结合单股电力线的平面直线模型和垂直面上的抛物线模型，采用模型生长的方法提取完整的电力线点。试验结果表明，该方法提取的电力线点云的精度可达99.6%。
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| 关 键 词： | 机载LiDAR 高压线 改进Hough变换 随机抽样一致算法 |
| 收稿时间： | 2017-07-03 |
| 修稿时间： | 2017-09-27 |
Power line extraction using airborne LiDAR point clouds characteristics and model fitting method |
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| Authors: | YANG Yuan CHEN Fengxiang GUO Tao SHI Lei WANG Cheng LUO Xin |
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| Institution: | 1. Transmission Line Maintenance Operation Branch of Guizhou Power Grid Co., Ltd, Guiyang 550002, China;
2. Key Lab of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
3. Guizhou Electric Power Design & Research Institute, Guiyang 550002, China |
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| Abstract: | Digital power line is a core part of digital grid construction and smart line security inspection. Airborne LiDAR has a unique advantage for power line reconstruction because it is capable of accurately and quickly obtaining 3-D information. We propose a new method for automatically and rapidly extracting power lines from airborne LiDAR data in the transmission corridor. Firstly, the power line points were roughly extracted based on the spatial distribution of raw point clouds, and the noise points were removed by using the improved Hough transform and RANSAC parabolic fitting method. Then, the power lines were distributed on the horizontal plane and the vertical plane. Finally, the points of power line were extracted by the model growth method, which was based on the assumption that the plane model of single power line was linear and the model on the vertical plane was parabolic. The experimental results show that the extraction accuracy of power line reaches 99.6% using the proposed method. |
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| Keywords: | airborne LiDAR power line improved Hough transform RANdom SAmple Consensus |
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