基于机载LiDAR点云的道路点滤波提取方法研究

Filteringand Extracting Road Points Based on Airborne LiDAR Data

提取出道路地面点对于从机载LiDAR数据中提取地物有重要意义,论文提出了一种滤波方法提取道路地面点。首先,通过LiDAR数据中的道路特征的高程值进行区域分割,保存粗略数据;然后再根据LiDAR数据中的反射强度进行第二次滤波,超出反射强度某阈值的点划分为非地面点,剔除此部分点;第三次对已提取出的点进行分析,根据道路点密集的特征剔除周围反射强度符合阈值但形状稀疏的孤立点。实验结果表明该算法对地面点的提取效果较好,具有一定的实用性。

It is important to extract the road points from the Airborne LiDAR data for feature extraction,a filtering method is presented to extract the road points.First of all,through the elevation of LiDAR data in the feature of road value for the filter,the filtered rough data is saved and then the second filter is carried out according to the LiDAR data in the reflection intensity,beyond the reflection intensity of some threshold points are divided into non road points,excluding the part.The extracted points are analyzed at third time,according to the feature of road value,the points with sparse shape should be filtered but their intensity are congruous.Experiment shows it has good effect on the extraction of road points and it is practical.