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International Journal of Remote Sensing Volume 44, 2023 - Issue 24

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XFIMNet: an Explainable deep learning architecture for versatile flood inundation mapping with synthetic aperture radar and multi-spectral optical images

Jacob Sandersona Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK

Naruephorn Tengtrairatb School of Software Engineering, Payap University, Chiang Mai, ThailandCorrespondence[email protected]

Wai Lok Wooa Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK

Hua Maoa Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK

Raid Rafi Al-Nimac Technical Engineering College, Northern Technical University, Mosul, Nineveh Governorate, Iraq

Pages 7755-7789 | Received 18 Jun 2023, Accepted 17 Nov 2023, Published online: 19 Dec 2023

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https://doi.org/10.1080/01431161.2023.2288945
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