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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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| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8198512/ https://ncbi.nlm.nih.gov/pubmed/34073498 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21113703 |
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