Towards annotation-less semantic segmentation of aerial point clouds
The ability to automatically recognize a wide variety of objects in complex 3D urban environments without relying on predefined categories or annotated training data is becoming increasingly important for end-users of large-scale geospatial 3D datasets. Given that objects in urban scenes noticeably...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2026-01-01
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| Colecção: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acesso em linha: | https://isprs-archives.copernicus.org/articles/XLVIII-4-W18-2025/19/2026/isprs-archives-XLVIII-4-W18-2025-19-2026.pdf |
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