复杂地形电力线机载激光雷达点云自动提取方法

针对传统电力线自动提取方法提取复杂地形下电力线效果较差的不足,从输电走廊机载激光雷达点云数据特征出发,在分析复杂地形下传统方法提取电力线问题的基础上,提出了一种电力线自动提取的新方法,并应用实际线路点云数据进行了可行性验证.所提方法首先通过空间划分将长距离、复杂地形转换为多个小距离尺度空间组合,基于子空间特征的差异化高程阈值分割算法实现地物点分离,解决了传统单一高程阈值分割法不能有效识别电力线与地物点高程重叠的不足,然后利用高程密度分割算法实现杆塔定位与电力线提取,并提高算法效率.案例试验结果表明,所提出的方法能实现复杂地形下和平坦地形下的电力线准确自动提取,且提取的正确率高,算法效率较好,提出的算法可用于工程.

An Automatic Power Line Extraction Method from Airborne Light Detection and Ranging Point Cloud in Complex Terrain

Accurate and efficient extraction of power line automatically is of great significance to improve the timeliness and effectiveness of power line inspection technology based on airborne light detection and ranging(LiDAR). As the traditional power line extraction methods are less effective under complex terrain, a new power line extraction method is put forward based on the analysis of the traditional methods of power line extraction under complex terrain and the characteristics of the point cloud data of transmission corridor, and its feasibility is verified by actual point cloud data. Firstly, the elevation threshold segmentation algorithm based on subspace feature is presented to realize the separation of terrestrial points. Then, the tower and power line are modified and extracted with the elevation density segmentation algorithm. The results show that the algorithm proposed in this paper can achieve accurate automatic extraction of power line with a high extraction accuracy and efficient in complex terrain, which can be used in engineering.