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基于机载激光点云数据的电力线自动提取算法
引用本文:尹辉增,孙轩,聂振钢.基于机载激光点云数据的电力线自动提取算法[J].地理与地理信息科学,2012,28(2):31-34,2.
作者姓名:尹辉增  孙轩  聂振钢
作者单位:1. 石家庄铁路职业技术学院,河北石家庄,050041
2. 武汉大学遥感信息工程学院,湖北武汉,430079
摘    要:设计并开发了一种从机载激光扫描的三维点云数据中自动提取电力线的算法,采用局部高程分布直方图模式分类滤波、Hough特征空间中全局方向特征优先的线特征提取、悬挂点位置数学推算和局部分段多项式拟合的方法,有效解决了电力线提取过程中电力线点云与电塔点云的自动分类、电力线平面位置提取、电力线悬挂点提取、电力线拟合问题。最后通过实际的工程数据验证了该算法的实用性。

关 键 词:电力线提取  机载激光数据处理  数据滤波

An Automated Extraction Algorithm of Power Lines Based on Airborne Laser Scanning Data
YIN Hui-zeng , SUN Xuan , NIE Zhen-gang.An Automated Extraction Algorithm of Power Lines Based on Airborne Laser Scanning Data[J].Geography and Geo-Information Science,2012,28(2):31-34,2.
Authors:YIN Hui-zeng  SUN Xuan  NIE Zhen-gang
Institution:1(1.Shijiazhuang Institute of Railway Technology,Shijiazhuang 050041; 2.College of Remote Sensing and Information Technology,Wuhan University,Wuhan 430079,China)
Abstract:An efficient automated extraction algorithm of power lines based on Airborne Laser Scanning(ALS) data was put forward.The algorithm adopted point clouds classification based on region part height histogram distribution patterns,lines extraction method with global direction feature in Hough space,mathematical estimating method of hanging point position and local partitioned polynomial fitting method.Four key problems were solved by use of the algorithm,namely,point clouds classification,plane position extraction of power lines,power line hanging points extraction and power line fitting.Finally,the applicability of the algorithm was proved by some practical engineering data.
Keywords:power line extraction  ALS data processing  data filtering
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