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

• 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/112078/1/1-s2.0-S0273117724002205-main.pdf; http://psasir.upm.edu.my/id/eprint/112078/; https://www.sciencedirect.com/science/article/pii/S0273117724002205?via%3Dihub
• Institution: Universiti Putra Malaysia

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...