机载LiDAR数据滤波预处理方法研究
Preprocessing Algorithms for Filtering Airborne LiDAR Data
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摘要: 为简化后续的机载LiDAR点云数据滤波,针对茂密植被的陡坡林区,提出了均值限差预处理方法;针对具有密集墙面激光脚点的城区,提出了角度限差预处理方法。采用两组不同特征的实测数据分别对两种预处理方法进行了实验,定性和定量分析结果表明,预处理效果显著,使用了预处理的滤波结果与未使用预处理而直接滤波的结果相比,两类滤波误差均有所减小。Abstract: In order to facilitate follow-up filtering of the airborne LIDAR points cloud,we presented two preprocessing methods.One is the mean-tolerance method for preprocessing the forested areas with dense vegetation and steep slope;the other one is the angle-tolerance method for preprocessing the urban areas with dense laser footprints reflected from walls of buildings.Two datasets with different characteristics were used in experiments to test the two presented preprocessing methods.The experimental results were analyzed qualitatively and quantitatively.The results indicate that two preprocessing methods are effective,two types of filtering errors are reduced when filtering with preprocessing.