Automatic Detection of Collapsed Buildings after the 6 February 2023 Türkiye Earthquakes Using Post-Disaster Satellite Images with Deep Learning-Based Semantic Segmentation Models
This study focuses on the identification of collapsed buildings in satellite images after earthquakes through deep learning-based image segmentation models. The performance of four different architectures, namely U-Net, LinkNet, FPN, and PSPNet, was evaluated using various performance metrics, such...
Main Authors: | Kemal Hacıefendioğlu, Hasan Basri Başağa, Volkan Kahya, Korhan Özgan, Ahmet Can Altunışık |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
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Series: | Buildings |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-5309/14/3/582 |
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