S³-ESRGAN: Enhanced Super-Resolution Generative Adversarial Network for Remote Sensing Imagery Spatial Resolution Improvement—An Application Using Sentinel-2 and UAV Images

This study introduces a deep learning-based super-resolution approach to enhance the spatial resolution of Sentinel-2 imagery using uncrewed aerial vehicle (UAV) data. The proposed scale-adaptive, spatial-attentive, and spectral-preserving enhanced super-resolution generative adversarial network (S<...

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Principais autores:	Ahmad Toosi, Farhad Samadzadegan, Farzaneh Dadrass Javan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Deep learning (DL) generative adversarial network (GAN) resolution enhancement Sentinel-2 satellite imagery spatial super-resolution (SR) uncrewed aerial vehicle (UAV)
Acesso em linha:	https://ieeexplore.ieee.org/document/11283031/
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