高级检索

机载激光雷达电力线提取的布料模拟法

Power line extraction from airborne LiDAR data based on cloth simulation

  • 摘要: 为了实现长距离直线型机载激光雷达电力线提取,提出了一种基于布料模拟的长距离机载激光雷达电力线提取方法,在数据预处理的基础上,通过模拟布料下落过程,分析布料与对应机载雷达点云之间的作用,确定布料由重力下降后所停留的位置作为相近高度的电力线点云,然后在xOy平面内拟合直线,利用点到拟合直线的距离对电力线条数进行奇偶判断,通过点在直线两侧判断,实现单根电力线的提取。结果表明,所提出的方法对长距离电力线的提取精度达到98.9%,具有较高的自动化程度,且对局部点云缺失不敏感。该研究在电力线智能巡检及输电廊道空间结构自动分析领域具有良好的工程应用价值。

     

    Abstract: In order to realize the power line extraction of long distance linear airborne light detection and ranging(LiDAR), a power line extraction method of long-distance airborne LiDAR based on cloth simulation was proposed. On the basis of data preprocessing, the function between cloth and corresponding airborne LiDAR point cloud was analyzed by simulating the falling process of cloth. The position where cloth stayed after gravity falling was determined as the power line point cloud with similar height, and then the straight line was fitted in the xOy plane. The distances from points to the fitting line were used to judge the number of power lines whether odd or even. And the power line point clouds were divided by the judgment of points on both sides of the line to achieve the extraction of a single power line. The experimental results show that the accuracy of the proposed method is 98.9%, with high degree of automation and not sensitive to the lack of local point cloud, which has good engineering application value for intelligent powerline inspection and automatic analysis of transmission channel spatial structure.

     

/

返回文章
返回