提出了基于坡度对陡坡林区LIDAR点云数据滤波的预处理算法,结合迭代最小二乘滤波方法改进了滤波效果,实测数据表明,有效地降低了第一类误差和第二类误差。
To filter the LIDAR points cloud data in forestry with steep slop, a pretreatment algorithm based on slope is presened, and combined with the iterative linear prediction algorithm to improve the effect of filtering. The measured LIDAR data is used in the experiment, and the result shows that the DEM is generated better and the Type Ⅰ and Type Ⅱ error are reduced ef fectively after using the pretreatment.