ServiceNow/HighRes-net
Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition. This is a ServiceNow Research project that was started at Element AI.
This project helps satellite imagery analysts and environmental monitoring specialists enhance the resolution of satellite images. By taking multiple low-resolution images of the same area, it processes them to produce a single, much clearer high-resolution image. This is particularly useful for improving the detail in observations from satellites like ESA's Proba-V.
289 stars. No commits in the last 6 months.
Use this if you need to significantly improve the clarity and detail of satellite imagery from multiple low-resolution captures.
Not ideal if you only have a single low-resolution image, as this method requires multiple frames of the same scene for optimal performance.
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289
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Jupyter Notebook
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Last pushed
Jul 15, 2022
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