A transformer-based approach empowered by a self-attention technique for semantic segmentation in remote sensing
(2024)
Journal Article
Boulila, W., Ghandorh, H., Masood, S., Alzahem, A., Koubaa, A., Ahmed, F., Khan, Z., & Ahmad, J. (2024). A transformer-based approach empowered by a self-attention technique for semantic segmentation in remote sensing. Heliyon, 10(8), Article e29396. https://doi.org/10.1016/j.heliyon.2024.e29396
Semantic segmentation of Remote Sensing (RS) images involves the classification of each pixel in a satellite image into distinct and non-overlapping regions or segments. This task is crucial in various domains, including land cover classification, au... Read More about A transformer-based approach empowered by a self-attention technique for semantic segmentation in remote sensing.