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Found 3 papers, 2 papers with code
MuS2: A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution
Insufficient image spatial resolution is a serious limitation in many practical scenarios, especially when acquiring images at a finer scale is infeasible or brings higher costs.
On training deep networks for satellite image super-resolution
The capabilities of super-resolution reconstruction (SRR)---techniques for enhancing image spatial resolution---have been recently improved significantly by the use of deep convolutional neural networks.
Deep Learning for Multiple-Image Super-Resolution
Recently, we have witnessed substantial improvement in single-image SRR attributed to the use of deep neural networks for learning the relation between low and high resolution.
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