ORBITaL-Net: A labeled training library for large-scale building feature extraction
Abstract Over the course of several years, nearly 1.5 million building outlines have been created from approximately 128,000 training tiles covering roughly 7,000 km 2 of very high-resolution multispectral overhead imagery, primarily dated between 2010 and 2020. This dataset, dubbed the Oak Ridge Bu...
Gardado en:
| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2025-10-01
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| Series: | Scientific Data |
| Acceso en liña: | https://doi.org/10.1038/s41597-025-05677-3 |
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