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notice: This version is for reference ONLY as it is reorganized from the raw version without test. For better performance of this code, the sequence images should be as similar as possible. file structure: train: code for training predict: code for prediction common: auxiliary code for training and prediction data: MODIS and LandSat-7 images model: result of training result: fused images Before running the program, you should download and compile the SPAMS software, and add the "build" folder into PATH. train script: train/dict_train prediction script: predict/CSDL_predict
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experiemntal code for “Spatiotemporal Fusion of MODIS and Landsat-7 Reflectance Images via Compressed Sensing”
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