激光与光电子学进展, 2018, 55 (2): 022801, 网络出版: 2018-09-10   

基于反射强度偏度平衡的道路点云提取算法 下载: 1468次

Road Point Cloud Extraction Algorithm Based on Reflection Intensity Skewness Balancing
作者单位
东华理工大学测绘工程学院, 江西 南昌 330013
摘要
反射强度信息是机载激光雷达(LiDAR)系统所获取数据的重要组成部分,利用反射强度信息提取道路点云的主要难点在于道路点云通常包含在地面点云中,而区分道路点云与非道路点云的反射强度阈值较难获取。针对该问题,提出了基于偏度平衡的道路点云提取算法,该算法可以自动、准确、无参地确定反射强度阈值,进而获取纯净的道路点云。分别采取位于我国山西省某地和德国某城市的两组LiDAR点云数据来检验该算法在不同地理环境下的有效性。实验结果表明所提算法简单有效,并且能够得到良好的道路点云提取结果。
Abstract
Reflection intensity information is an important component of data acquired by airborne light detection and ranging (LiDAR) system. The main difficulty in realizing road point cloud extraction using reflection intensity information is that road point cloud is always contained in ground point cloud, whereas the reflection intensity threshold to discriminate road point cloud and non-road point cloud is hard to obtain. To solve this problem, an extraction algorithm of road point cloud based on skewness balancing is proposed, which can obtain the reflection intensity threshold automatically, accurately and parameter-freely. After that pure road point cloud can be obtained. We adapt two datasets of LiDAR point cloud located in somewhere of Shanxi province and a certain city in Germany to test the effectiveness of the proposed algorithms at different environments, respectively. The experimental results show that the proposed algorithm is easy and effective, and has a good performance of road point cloud extraction.

惠振阳, 胡友健, 康妍斐. 基于反射强度偏度平衡的道路点云提取算法[J]. 激光与光电子学进展, 2018, 55(2): 022801. Zhenyang Hui, Youjian Hu, Yanfei Kang. Road Point Cloud Extraction Algorithm Based on Reflection Intensity Skewness Balancing[J]. Laser & Optoelectronics Progress, 2018, 55(2): 022801.

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