Optimal Fusion of Multispectral Optical and SAR Images for Flood Inundation Mapping through Explainable Deep Learning

Optimal Fusion of Multispectral Optical and SAR Images for Flood Inundation Mapping through Explainable Deep Learning

In the face of increasing flood risks intensified by climate change, accurate flood inundation mapping is pivotal for effective disaster management. This study introduces a novel explainable deep learning architecture designed to generate precise flood inundation maps from diverse satellite data sou...

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Bibliographic Details
Main Authors: Jacob Sanderson, Hua Mao, Mohammed A. M. Abdullah, Raid Rafi Omar Al-Nima, Wai Lok Woo
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Information
Subjects:
deep learning
Explainable Artificial Intelligence
semantic segmentation
flood inundation mapping
synthetic aperture radar
multispectral
Online Access:https://www.mdpi.com/2078-2489/14/12/660

Internet

https://www.mdpi.com/2078-2489/14/12/660

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