Toward Reliable Post-Disaster Assessment: Advancing Building Damage Detection Using You Only Look Once Convolutional Neural Network and Satellite Imagery

Toward Reliable Post-Disaster Assessment: Advancing Building Damage Detection Using You Only Look Once Convolutional Neural Network and Satellite Imagery

Natural disasters continuously threaten populations worldwide, with hydrometeorological events standing out due to their unpredictability, rapid onset, and significant destructive capacity. However, developing countries often face severe budgetary constraints and rely heavily on international suppor...

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Bibliographic Details
Main Authors: César Luis Moreno González, Germán A. Montoya, Carlos Lozano Garzón
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Mathematics
Subjects:
machine learning
deep learning
computer vision
detection models
natural disasters
hydrometeorological disasters
Online Access:https://www.mdpi.com/2227-7390/13/7/1041
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