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《Geomatics & Spatial Information Technology》 2010-05
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Research of Power Line Fitting and Extraction Techniques Based on LIDAR Point Cloud Data

YE Lan,LIU Qian,HU Qing-wu(School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China)  
According to the characteristic of elevation distribution,a power line extraction and fitting algorithm based on plane projection of point cloud elevation data is proposed in this paper.Firstly,an automatic elevation threshold segmentation method is presented to reject the terrestrial points primarily from the point cloud data.Secondly,an elevation project and resample algorithm is adopted to convert cloud point data to elevation-value-image.Power line extraction and filtering are implemented in the elevation-value image with line extraction algorithm in image domain.Finally,an electric-tower segmentation and potential dangerous ground objects detection technique based on mathematical morphology is proposed.The experiment result shows the algorithm can achieve power line fitting,electric-tower extraction and potential dangerous ground objects detection to the point cloud data and it can be used in power line inspection project based on LIDAR technique.
【Fund】: 863重大专项项目——高精度轻小型航空遥感系统典型示范应用(2008AA121305)资助
【CateGory Index】: TM769
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