This folder contains files related to the SRUNet model First, need to install the required libraries which are mentioned in the file “requirements.txt” This model was trained using tensorflow/keras For training, user can compile the file “SRUNet_100_50.py” for the Super Resolution from 1m to 50cm, and “SRUNet_50_25.py” for the Super Resolution from 50cm to 25cm **For prediction, user can use “predict_100_50_25.py” to predict the result of SR from 1m to 25cm using the 2 models (1m->50cm then 50cm->25cm). the file "convert_npy_tif.py" is to convert the result of prediction from python numpy format (npy) to "geotif" format the file 'convert_tif_npy.py' is to convert the origin tiff file from tif to python numpy data (npy) Because of issue of disk-space, the training data and the trained models are uploaded separately ------The links to training data-------- # for data of SR from 1m to 50cm https://drive.google.com/file/d/1Ck9ZLwTSudAoHbtlBy8IUuvPBrrfEvFH/view?usp=sharing # for data of SR from 50cm to 25cm https://drive.google.com/file/d/1AskFcMv96OapsFVylBq6dOH4qHionesq/view?usp=sharing -----link to the SRUNet models------ # SRUNet_100_50 model https://drive.google.com/file/d/1u4Hs23VLRvTJPrWNY16sdu4sJJgv4arM/view?usp=sharing # SRUNet_50_25 model https://drive.google.com/file/d/1dJzfz4G7bAAhwo5DuxThQpIKXwG30wvM/view?usp=sharing -----link to the testing data------ https://drive.google.com/drive/folders/1oxZgobCVM-MmQtnqmk2Ju9YxA4ld5r2y?usp=sharing