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CLASSIFICATION OF MOBILE LIDAR DATA USING VOX-NET AND AUXILIARY TRAINING SAMPLES
The classification of mobile Lidar data is challenged by the complexity of objects in the point clouds and the limited number of available training samples. Incomplete shape, noise points and uneven point density make the extraction of features from point clouds relatively arduous. Additionally, the...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2019-06-01
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| Colecção: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acesso em linha: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1001/2019/isprs-archives-XLII-2-W13-1001-2019.pdf |
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