Deep-Learning Integration of CNN–Transformer and U-Net for Bi-Temporal SAR Flash-Flood Detection

Deep-Learning Integration of CNN–Transformer and U-Net for Bi-Temporal SAR Flash-Flood Detection

Flash floods are natural disasters that have significant impacts on human life and economic damage. The detection of flash floods using remote-sensing techniques provides essential data for subsequent flood-risk assessment through the preparation of flood inventory samples. In this research, a new d...

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Bibliographic Details
Main Authors: Abbas Mohammed Noori, Abdul Razzak T. Ziboon, Amjed N. AL-Hameedawi
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
deep learning
flood detection
SAR imaging
U-Net
transformer models
Online Access:https://www.mdpi.com/2076-3417/15/14/7770
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