On transfer learning for building damage assessment from satellite imagery in emergency contexts
When a natural disaster occurs, humanitarian organizations need to be prompt, effective, and efficient to support people whose security is threatened. Satellite imagery offers rich and reliable information to support expert decision-making, yet its annotation remains labour-intensive and tedious. In...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
MDPI
2022
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