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Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery
Rapid response to natural hazards, such as floods, is essential to mitigate loss of life and the reduction of suffering. For emergency response teams, access to timely and accurate data is essential. Satellite imagery offers a rich source of information which can be analysed to help determine region...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.3390/rs12162532 http://cds.cern.ch/record/2799352 |