FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net

Research output: Contribution to journal › Article › peer-review

53 Citations (Scopus)

Original language	Undefined/Unknown
Journal	International Journal of Applied Earth Observation and Geoinformation
DOIs	https://doi.org/10.1016/j.jag.2023.103453
Publication status	Published - 2023

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@article{63a9f9c3fa8a432e8c484bd013d66338,

title = "FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net",

author = "K. Kalinaki and O.A. Malik and \{Ching Lai\}, D.T.",

year = "2023",

doi = "10.1016/j.jag.2023.103453",

language = "Undefined/Unknown",

journal = "International Journal of Applied Earth Observation and Geoinformation",

issn = "1872-826X",

}

TY - JOUR

T1 - FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net

AU - Kalinaki, K.

AU - Malik, O.A.

AU - Ching Lai, D.T.

PY - 2023

Y1 - 2023

UR - https://www.scopus.com/inward/record.url?eid=2-s2.0-85172463608&partnerID=MN8TOARS

U2 - 10.1016/j.jag.2023.103453

DO - 10.1016/j.jag.2023.103453

M3 - Article

SN - 1872-826X

JO - International Journal of Applied Earth Observation and Geoinformation

JF - International Journal of Applied Earth Observation and Geoinformation

ER -