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Super-Resolution deep learning models for remote sensing data

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Jing25/SR_RemoteSensing

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SR_RemoteSensing

Super-Resolution (SR) deep learning models supporting remote sensing data (.tif)

*The project is still ongoing and this repository will keep updating. If for any reason that the code doesn't work, feel free to ask.

The code used here is based on this repository. Please check to get more detailed information. I just extended their work by supporting .tif and x3 model initializing with pretrained weights from x4 model.

Our work is using Sentinel-10m data and Landsat-30m data to generate SR Landsat-10m data.

tiff-read.ipynb is for data preparation, train-val-test data spliting and format transformation.

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Super-Resolution deep learning models for remote sensing data

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