Flood Index-Enhanced deep learning model for coastal inundation mapping in SAR imagery

This study introduces a flood index-enhanced deep learning model for coastal inundation mapping leveraging dual-polarization and bitemporal Sentinel-1 synthetic aperture radar (SAR) imagery. The proposed model, FIE-Net, introduces two key innovations to improve flood mapping accuracy. First, it inte...

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Bibliographic Details
Main Authors: Wantai Chen, Yinfei Zhou, Xiaofeng Li
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:International Journal of Applied Earth Observations and Geoinformation
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Online Access:http://www.sciencedirect.com/science/article/pii/S1569843225001979
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