PCA-Based Denoising Algorithm for Outdoor Lidar Point Cloud Data

PCA-Based Denoising Algorithm for Outdoor Lidar Point Cloud Data

Due to the complexity of surrounding environments, lidar point cloud data (PCD) are often degraded by plane noise. In order to eliminate noise, this paper proposes a filtering scheme based on the grid principal component analysis (PCA) technique and the ground splicing method. The 3D PCD is first pr...

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Bibliographic Details
Main Authors: Dongyang Cheng, Dangjun Zhao, Junchao Zhang, Caisheng Wei, Di Tian
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
PCD filter
grid PCA
ground noise
KD-tree
normal vector
KNN
Online Access:https://www.mdpi.com/1424-8220/21/11/3703

Internet

https://www.mdpi.com/1424-8220/21/11/3703

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