Support data for paper "Revisiting remote sensing cross-sensor Single Image Super-Resolution: the overlooked impact of geometric and radiometric distortion"

Contents This dataset contains support data for the following paper: Julien Michel, Ekaterina Kalinicheva, Jordi Inglada. Revisiting remote sensing cross-sensor Single Image Super-Resolution: the overlooked impact of geometric and radiometric distortion. 2024. ⟨hal-04723225⟩ It contains: dataset.tar.gz : Datasets wsx4 and wsx2 generated from the Worldstrat dataset, pretrained_registration_models.tar.gz : All pre-trained registration models required to replay the experiments, trained_models.tar.gz : all trained models from the experiments, onnx_exported_models.tar.gz : all trained models from the experiments, exported to ONNX and ready to be used with the sentinel2_superresolution tool for testing on any Sentinel-2 image. Licences File dataset.target.gz and all files contained in the archive are covered by the CC-BY-NC 4.0 licence (pertaining the original licence from Worldstrat) All other files are covered by the CC-BY-4.0 licence.