MGLI-Former: a multi-scale and global-local information interactive attention transformer for urban shantytown extraction
Shantytowns, characterized by poor living conditions and simple houses, necessitate efficient extraction and analysis for urban planning. This paper proposes a multi-scale and global-local information interactive attention transformer (MGLI-Former) for shantytown extraction from high-resolution remo...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2024.2432522 |
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