基于坡度信息和平面拟合的机载LiDAR点云滤波方法

Airborne LiDAR filtering algorithm based on slope information and plane fitting

提出了一种改进的滤波算法。新算法利用平面的性质和局部最低点的关系进行地面点的提取。初始的DTM拟合之后,新算法中最初用到的坡度阈值就会更新,这样DTM会包含更多细节的地形信息,从而使新算法在坡度变化复杂的区域能够实现地面点的提取。

The filtering algorithm is proposed by utilizing planar surface features and connectivity with locally lowest points to improve the extraction of ground points （ GPs）. A slope parameter used in the proposed algo- rithm is updated after an initial estimation of the DTM, and thus local terrain information can be included. As a result, the proposed algorithm can extract GPs from areas where different degrees of slope variation are inter- spersed.