Transformer-based semantic segmentation for large-scale building footprint extraction from very-high resolution satellite images

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Transformer-based semantic segmentation for large-scale building footprint extraction from very-high resolution satellite images

Extracting building footprints from extensive very-high spatial resolution (VHSR) remote sensing data is crucial for diverse applications, including surveying, urban studies, population estimation, identification of informal settlements, and disaster management. Although convolutional neural network...

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Bibliographic Details
Main Authors:	A. Gibril, Mohamed Barakat, Al-Ruzouq, Rami, Shanableh, Abdallah, Jena, Ratiranjan, Bolcek, Jan, Mohd Shafri, Helmi Zulhaidi, Ghorbanzadeh, Omid
Format:	Article
Language:	English
Published:	Elsevier 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/112078/ http://psasir.upm.edu.my/id/eprint/112078/1/1-s2.0-S0273117724002205-main.pdf

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