BD-SKUNet: Selective-Kernel UNets for Building Damage Assessment in High-Resolution Satellite Images
When natural disasters occur, timely and accurate building damage assessment maps are vital for disaster management responders to organize their resources efficiently. Pairs of pre- and post-disaster remote sensing imagery have been recognized as invaluable data sources that provide useful informati...
Main Authors: | Seyed Ali Ahmadi, Ali Mohammadzadeh, Naoto Yokoya, Arsalan Ghorbanian |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/16/1/182 |
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