DEEP RESIDUAL LEARNING FOR SINGLE-IMAGE SUPER-RESOLUTION OF MULTI-SPECTRAL SATELLITE IMAGERY

9 citations as recorded by crossref.

1. Using Super-Resolution Algorithms for Small Satellite Imagery: A Systematic Review K. Karwowska & D. Wierzbicki 10.1109/JSTARS.2022.3167646
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3. How Does Super-Resolution for Satellite Imagery Affect Different Types of Land Cover? Sentinel-2 Case A. Malczewska & M. Wielgosz 10.1109/JSTARS.2023.3328997
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6. VegGAN: A Generative Adversarial Network for Downscaling JPSS/VIIRS Vegetation Indices Y. Yang et al. 10.1109/JSTARS.2025.3588052
7. Super-Resolution of Sentinel-2 Images Using Convolutional Neural Networks and Real Ground Truth Data M. Galar et al. 10.3390/rs12182941
8. Single-Image Super-Resolution of Sentinel-2 Low Resolution Bands with Residual Dense Convolutional Neural Networks L. Salgueiro et al. 10.3390/rs13245007
9. Enhanced satellite image resolution with a residual network and correlation filter A. Sharma et al. 10.1016/j.chemolab.2024.105277