Transformer-based semantic segmentation for large-scale building footprint extraction from very-high resolution satellite images
Extracting building footprints from extensive very-high spatial resolution (VHSR) remote sensing data is crucial for diverse applications, including surveying, urban studies, population estimation, identification of informal settlements, and disaster management. Although convolutional neural network...
| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Elsevier
2024
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| Acesso em linha: | http://psasir.upm.edu.my/id/eprint/112078/1/1-s2.0-S0273117724002205-main.pdf |