复杂地物背景下机载LiDAR数据的电力线自动提取

Automatic Power Line Extraction from Airborne LiDAR Data in Complex Terrain Background

针对当前机载激光雷达技术在电力巡线应用中对电力线自动提取高精度的需求,提出一种在复杂地物背景下电力线自动提取的改进算法。首先通过点云滤波算法分离地面和非地面点,完成归一化处理并依据电力线点云的高程特征及其在Z方向上连续性分布特性得到候选点云;其次通过峰值增强局部算子改进霍夫变换,实现电力线点云的精提取;最后基于电力线点云的空间连续性,通过最邻近生长算法识别单根电力线。实验结果表明,利用该算法电力线提取率达到95%以上。该算法能适应地形起伏、复杂地物的影响准确提取电力线点,并能对电力线进行准确的单根识别。

In view of the demand for high precision automatic extraction of power lines in the application of airborne laser radar technology,an improved algorithm for automatic extraction of power lines in complex terrain background is proposed.First,the ground and non-ground points are separated by the point cloud filtering algorithm for normalization,and the candidate point cloud is obtained based on the elevation characteristics of the power line point cloud and its continuous distribution in Z direction.Secondly,the Hough transform is improved by the peak enhancement local operator,and the precision extraction of the power line point cloud is realized.Finally,a single powerline can be obtained by the nearest growth algorithm based on the spatial continuity of the power line point cloud.The experimental results show that the extraction rate reaches more than 95%by using this algorithm.The algorithm can accurately extract power line points from the influence of terrain undulating and complex terrain,and can identify single line of power lines accurately.