分层式南方丘陵区机载LiDAR点云噪声剔除算法研究——以浙江省某地区为例

Study on Noise Elimination Algorithm of Airborne LiDAR Point Cloud in Layered Hilly Area of Southern China: Taking an Area in Zhejiang Province as an Example

根据南方丘陵区地形起伏较大的地理特点,该文提出了分层式点云噪声剔除算法。选取南方丘陵区浙江省某地机载LiDAR数据进行了实例验证,并与局部点云拟合法、深度图像法的剔除效果进行了比较,结果显示了该方法的有效性。该方法对于起伏较大的丘陵地区作业具有一定的参考价值。

Based on the geographical characteristics of big terrain fluctuates in southern China hilly area,in this paper,a layered point cloud noise elimination algorithm is proposed.The airborne LiDAR data of a place in southern China hilly area of Zhejiang Province is selected for example verification,and the results are compared with the local point cloud fitting method and depth image method.The effectiveness of this method is shown.And this method has a certain reference value for the operation in hilly areas with large terrain.