Surface Water Mapping from Remote Sensing in the Dry Season of Egypt Using an Improved U-Net Model with Multi-Scale Information and Attention Mechanism

Li, Y; Liu, X; Ferreira, V; Balzter, H; Zhou, Huiyu; Ge, Y; Lai, M; Chu, S; Ding, H; Gu, Z

Surface Water Mapping from Remote Sensing in the Dry Season of Egypt Using an Improved U-Net Model with Multi-Scale Information and Attention Mechanism

journal contribution

posted on 2025-06-12, 15:13 authored by Y Li, X Liu, V Ferreira, H Balzter, Huiyu ZhouHuiyu Zhou, Y Ge, M Lai, S Chu, H Ding, Z Gu

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History

Author affiliation

College of Science & Engineering Comp' & Math' Sciences

Version

AM (Accepted Manuscript)

Published in

International Journal of Applied Earth Observation and Geoinformation

Publisher

Elsevier

issn

0303-2434

eissn

1872-826X

Copyright date

2025

Publisher DOI

https://doi.org/TBA

Notes

Embargo until publication

Language

en

Publisher version

https://www.sciencedirect.com/journal/international-journal-of-applied-earth-observation-and-geoinformation

Deposited by

Professor Huiyu Zhou

Deposit date

2025-06-11

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Keywords

Surface water Arid regions Semantic segmentation Remote sensing Sentinel-2 Machine learning Egypt

Licence

CC BY 4.0

Surface Water Mapping from Remote Sensing in the Dry Season of Egypt Using an Improved U-Net Model with Multi-Scale Information and Attention Mechanism

History

Author affiliation

Version

Published in

Publisher

issn

eissn

Copyright date

Publisher DOI

Notes

Language

Publisher version

Deposited by

Deposit date

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