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: | , , , |
---|---|
Format: | Journal article |
Language: | English |
Published: |
MDPI
2022
|