Experiment and Analysis of Point Cloud Denoising Using Bilateral Filtering Method

doi:10.13474/j.cnki.11-2246.2017.0055

Abstract

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.

Key words: UAV, point cloud, denoising, bilateral filter

CLC Number:

P208

MA Xianming, LI Yongshu, XIE Jiali. Experiment and Analysis of Point Cloud Denoising Using Bilateral Filtering Method[J]. 测绘通报, 2017, 0(2): 87-89,115.

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