BDD-Net: an end-to-end multiscale residual CNN for earthquake-induced building damage detection
Building damage maps can be generated from either optical or Light Detection and Ranging (Lidar) datasets. In the wake of a disaster such as an earthquake, a timely and detailed map is a critical reference for disaster teams in order to plan and perform rescue and evacuation missions. Recent studies...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
MDPI
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/100516/ https://www.mdpi.com/2072-4292/14/9/2214 |
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