LIDAR点云中高精度建筑物分割算法研究

Algorithms Study of High Precision Building Segmentation on LIDAR Data

本文在深入研究已有基于Lidar点云的建筑物分割算法基础上,提出了一种结合高程纹理、边缘追踪和规则几何元素检测的建筑物目标分割算法,讨论了该算法在大数量点云处理过程中实现的可行性,总结了算法的实现步骤。通过实际数据的实验,验证了算法的可实现性,并对提取的建筑物目标给出了精度评价。

In this article, a building segmentation algorithm for Lidar point cloud with combination of height texture, boundary track and regular geometry element detection is proposed, the feasibility of this algorithm is discussed and the steps is summarized. Through the experiment on actual data, the achievability of this algorithm is verified, an evaluation on accuracy of building segmentation is also given.