机载激光点云数据中分裂导线自动提取和重建

Automatic extraction and reconstruction of bundle conductors from airborne LiDAR point clouds

针对电力线精细重建问题,该文从分裂导线的空间分布特点出发,提出一种从机载激光点云数据中自动提取并精细重建分裂导线的方法,即在提取单根导线或地线点云的基础上,对分裂导线点云基于二分法提取每根分裂子导线点云,并采用随机抽样一致性算法对电力线分别在XOY平面进行二维直线拟合、在某垂直平面进行悬链线拟合。实验数据表明,该方法具有鲁棒性好、拟合精度高等特点,能精细地重建出每根分裂子导线。

Aiming at the problem of precise reconstruction of power lines,an automatic method of extracting and reconstructing bundle conductors from airborne LiDAR point clouds was presented considering the spatial distribution characteristics of bundle conductors.Firstly,dichotomy was used to extract sub-conductor points after the extraction of each conductor or ground wires points.Secondly,the RANSAC algorithm was adopted to fit a power line.The linear model was used to fit power lines on XOY plane while catenary model was used on a vertical plane.Experimental results showed the proposed method could reconstruct each sub-conductor robustly with high precision.