Deep learning-based classification of earthquake-damaged buildings using terrestrial images.
Rapid, reliable assessment of building damage immediately after an earthquake is essential for prioritising search and rescue, allocating scarce resources, and establishing early situational awareness. This study develops and evaluates a deep learning classifier that uses terrestrial images-which provide critical groun...