Enhancing Spatial Resolution of Sentinel-2 Imagery through Deep Learning and Generative Adversarial Networks: GS-SRGAN

Farah, Saad; Saadaoui, Hachem; Rhinane, Hassan

doi:10.5194/isprs-archives-XLVIII-4-W17-2025-123-2026

Articles | Volume XLVIII-4/W17-2025

https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-123-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-123-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume XLVIII-4/W17-2025

15 Jan 2026

| 15 Jan 2026

Enhancing Spatial Resolution of Sentinel-2 Imagery through Deep Learning and Generative Adversarial Networks: GS-SRGAN

Saad Farah, Hachem Saadaoui, and Hassan Rhinane

Metrics will be available soon.

Latest update: 15 Jan 2026

The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

Useful Links

Useful External Links

Our Contact

ISPRS
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org