Automatic Detection of Collapsed Buildings after the 6 February 2023 Türkiye Earthquakes Using Post-Disaster Satellite Images with Deep Learning-Based Semantic Segmentation Models

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...

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Bibliographic Details
Main Authors: Kemal Hacıefendioğlu, Hasan Basri Başağa, Volkan Kahya, Korhan Özgan, Ahmet Can Altunışık
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Buildings
Subjects:
earthquake damage detection
collapsed building identification
deep learning
image segmentation
satellite images
Online Access:https://www.mdpi.com/2075-5309/14/3/582

Internet

https://www.mdpi.com/2075-5309/14/3/582

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