A learned binary mask on semantic segmentation maps reduces UAV-to-ground data volume, but accuracy is maintained on only one of the two tested tasks.
WMO Atlas of mortal- ity and economic losses from weather, climate, and water extremes (1970–2019),
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Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning
A learned binary mask on semantic segmentation maps reduces UAV-to-ground data volume, but accuracy is maintained on only one of the two tested tasks.