Replication Data for: On training deep networks for satellite image super-resolution

This dataset contains image patches used to train deep networks for super-resolution reconstruction, used for the experiments reported in our IGARSS 2019 paper: M. Kawulok, S. Piechaczek, K. Hrynczenko, P. Benecki, D. Kostrzewa, J. Nalepa: "On training deep networks for satellite image super-resolution," in Proc. IGARSS 2019. The data are split into training and validation sets as described in Table 1 in our paper. Low-resolution patches have been obtained from high-resolution ones following 8 different scenarios - all of them are included in the dataset. The dataset is split into three files due to technical reasons: (i) DIV2K high-resolution patches, (ii) DIV2K low-resolution patches (8 versions), and (iii) Sentinel-2 patches (low- and high-resolution).