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Dual-Tasks Siamese Transformer Framework for Building Damage Assessment
Accurate and fine-grained information about the extent of damage to buildings is essential for humanitarian relief and disaster response. However, as the most commonly used architecture in remote sensing interpretation tasks, Convolutional Neural Networks (CNNs) have limited ability to model the non...
| Autores principales: | , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2022
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| Acceso en línea: | https://dx.doi.org/10.1109/IGARSS46834.2022.9883139 http://cds.cern.ch/record/2836352 |