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利用双边滤波法进行点云去噪的试验与分析
引用本文:马先明,李永树,谢嘉丽.利用双边滤波法进行点云去噪的试验与分析[J].测绘通报,2017,0(2):87.
作者姓名:马先明  李永树  谢嘉丽
作者单位:西南交通大学, 四川 成都 611756
基金项目:十二五国家科技支撑计划项目
摘    要:利用无人机影像生成点云数据时,会产生一些噪声点,这些噪声点对点云数据的分类提取等会带来不利影响。为了消除这些噪声点,利用栅格法去除浮在点云上方的稀疏点,并利用pcl库的StatisticalOutlierRemoval滤波器去除离群噪声点,以及利用双边滤波算法对小型的噪声点进行纠正。试验结果表明,本文方法既保留了目标地物的几何特征,又能够有效地去除影响目标地物识别的噪声。

关 键 词:无人机  点云  去噪  双边滤波  
收稿时间:2016-05-12
修稿时间:2016-09-26

Experiment and Analysis of Point Cloud Denoising Using Bilateral Filtering Method
MA Xianming,LI Yongshu,XIE Jiali.Experiment and Analysis of Point Cloud Denoising Using Bilateral Filtering Method[J].Bulletin of Surveying and Mapping,2017,0(2):87.
Authors:MA Xianming  LI Yongshu  XIE Jiali
Institution:Southwest Jiaotong University, Chengdu 611756, China
Abstract:In this paper, we extracted point cloud data from image of UAV with overlapping regions. There are some noise points while extracting the data. These noise points will have a great impact on the image classification and other operations. Therefore, we need to remove the noise points. A grid method is used to remove the sparse points above the point cloud. StatisticalOutlierRemoval filter of PCL Library is used to remove outliers noise. A bilateral filter is used to deal with small noise. Through experiments, we can not only retain the characteristics, but also remove the noise points.
Keywords:UAV  point cloud  denoising  bilateral filter
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