Automatic Detection and 3D Modeling of City Furniture Objects using LiDAR and Imagery Mobile Mapping Data
City furniture objects hold valuable information about urban traffic and city dynamics, making their integration into 3D city models essential for enhancing these models. This study implements two methodologies for detecting, classifying, and positioning City Furniture objects, as well as one approa...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2024-12-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-2-W8-2024/125/2024/isprs-archives-XLVIII-2-W8-2024-125-2024.pdf |
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