激光与光电子学进展, 2019, 56 (6): 062802, 网络出版: 2019-07-30
基于动态阈值的机载LiDAR点云滤波法 下载: 1027次
Airborne LiDAR Point Cloud Filtering Algorithm Based on Dynamic Threshold
遥感 机载LiDAR 点云 滤波 动态阈值 算法 remote sensing airborne LiDAR point cloud filtering dynamic threshold algorithm
摘要
为了提高地形起伏较大区域点云的滤波效果,提出了一种基于动态阈值获取点云的滤波算法。该算法分为两个阶段,初次滤波以获取更为准确的地面点为前提,二次滤波优化以初次滤波获取的地面点为基础,从而获取不同区域的高差阈值,根据这些阈值再对原始点云进行滤波。实验结果表明,相较于其他经典算法,所提算法能够获得更小的Ⅰ类误差和总误差,在滤除地物的同时能够有效地保留地形特征。
Abstract
To improve the filtering effects of point clouds in abrupt terrains, a filtering algorithm is proposed based on dynamic thresholds. This algorithm can be divided into two stages. The first filtering aims at obtaining the more accurate ground points, while the second filtering aims at obtaining the elevation difference thresholds in different regions based on the ground points obtained by the first filtering. Subsequently the original point clouds are filtered according to the above thresholds. The experimental results show that the proposed algorithm can be used to obtain the smaller Type Ⅰ error and total error, comparing with the other classic algorithms. Moreover, this algorithm can be used to filter the ground objects and simultaneously protect the terrain details effectively.
惠振阳, 鲁铁定, 胡友健, 于宪煜, 夏元平. 基于动态阈值的机载LiDAR点云滤波法[J]. 激光与光电子学进展, 2019, 56(6): 062802. Zhenyang Hui, Tieding Lu, Youjian Hu, Xianyu Yu, Yuanping Xia. Airborne LiDAR Point Cloud Filtering Algorithm Based on Dynamic Threshold[J]. Laser & Optoelectronics Progress, 2019, 56(6): 062802.