PTD算法在激光三维点云数据滤波中的应用

Application of PTD algorithm in laser 3D point cloud data filtering

提高激光三维点云数据滤波精度,有助于构建高精度的地表模型,为此,提出了基于点云地面点滤波算法的激光三维点云数据滤波方法。采用双边滤波算法消除激光三维点云数据中存在的噪声,提取的法向量、回波率以及后向散射系数,将其输入支持向量机完成激光三维点云数据的分类,采用点云地面点滤波算法实现三维激光图像双边滤波处理。结果表明,本方法的数据滤波处理误差低于2.0%,信息熵与峰值信噪比为9.74和23.44 dB,获取的三维激光图像清晰度高。

Improving the filtering accuracy of laser 3D point cloud data is helpful to build a high-precision surface model.Therefore,a laser 3D point cloud data filtering method based on point cloud ground point filtering algorithm is proposed.The bilateral filtering algorithm is used to eliminate the noise in the laser 3D point cloud data.The extracted normal vector,echo rate and backscatter coefficient are input into the support vector machine to complete the classification of the laser 3D point cloud data.The point cloud ground point filtering algorithm is used to realize the bilateral filtering of the 3D laser image.The results show that the data filtering error of this method is less than 2.0%,the information entropy and peak signal-to-noise ratio are 9.74 and 23.44 dB,and the obtained 3D laser image has high definition.