基于输电线路点云空间分布特征的电力线提取算法研究

Research on Power Line Extraction Algorithm Based on Spatial Distribution Characteristics of Transmission Line Point Cloud

针对输电线路存在交叉跨越和电力线点云缺失情况进行研究,提出一种基于输电线路点云空间分布特征的电力线提取算法。算法首先对单架次多档点云进行分挡,然后对单档点云进行粗分类、精分类,获取高精度电力线、交跨线点云,最后根据空间分布特征剔除交跨线,获取最终目标电力线点云。本文通过试验验证了算法的准确性,准确率为91.2%。

The crossover of transmission lines and the absence of power line point clouds are studied,and a power line extraction algorithm based on the spatial distribution characteristics of transmission line point clouds is proposed.First of all,the algorithm divides the single multi-grade point cloud,then carries on the coarse classification and fine classification to obtain the high-precision power line and cross-line point cloud,and finally removes the cross-line according to the spatial distribution characteristics to obtain the final target power line point cloud.In this paper,the accuracy of the algorithm is verified by tests,and the accuracy is 91.2%.