Forest Canopy Cover Mapping in High-Resolution Multisource Satellite Imagery Using Attention Recurrent Residual U-Net

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Original language	Undefined/Unknown
Title of host publication	IEEE Region 10 Annual International Conference Proceedings TENCON
DOIs	https://doi.org/10.1109/TENCON61640.2024.10902705
Publication status	Published - 2024

Access to Document

@inproceedings{2d65047db26e4b9f9012c13a23cad460,

title = "Forest Canopy Cover Mapping in High-Resolution Multisource Satellite Imagery Using Attention Recurrent Residual U-Net",

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

year = "2024",

doi = "10.1109/TENCON61640.2024.10902705",

language = "Undefined/Unknown",

isbn = "9798350350821",

booktitle = "IEEE Region 10 Annual International Conference Proceedings TENCON",

}

TY - GEN

T1 - Forest Canopy Cover Mapping in High-Resolution Multisource Satellite Imagery Using Attention Recurrent Residual U-Net

AU - Kalinaki, K.

AU - Malik, O.A.

AU - Ching Lai, D.T.

PY - 2024

Y1 - 2024

UR - https://www.scopus.com/inward/record.url?eid=2-s2.0-105000318364&partnerID=MN8TOARS

U2 - 10.1109/TENCON61640.2024.10902705

DO - 10.1109/TENCON61640.2024.10902705

M3 - Conference contribution

SN - 9798350350821

BT - IEEE Region 10 Annual International Conference Proceedings TENCON

ER -