Semisupervised Building Damage Assessment in Polarimetric SAR Imagery via a Graph-Enhanced Network
Polarimetric synthetic aperture radar holds significant potential for postdisaster building damage assessment. However, conventional methods often rely on simple change indices that neglect feature correlations and employ pixel-level classification models that lack spatial contextual information, le...
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| Principais autores: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| coleção: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11365968/ |
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