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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Detalles Bibliográficos
Autores principales: Cheng, Dongyang, Zhao, Dangjun, Zhang, Junchao, Wei, Caisheng, Tian, Di
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198512/
https://www.ncbi.nlm.nih.gov/pubmed/34073498
http://dx.doi.org/10.3390/s21113703

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198512/
https://www.ncbi.nlm.nih.gov/pubmed/34073498
http://dx.doi.org/10.3390/s21113703

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