In remote sensing, image super-resolution (ISR) is a technique used to create high-resolution (HR) images from low-resolution (R) satellite images, giving a more detailed view of the Earth’s surface.
The dataset contains the data for training and validating deep neural networks that perform multiple-image super-resolution reconstruction. Each high-resolution (HR) patch extracted from 13 Sentinel-2
