spaceml-org/Missing-Pixel-Filler
missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.
This tool helps satellite imagery analysts and remote sensing scientists automatically repair satellite images that have gaps or blacked-out sections, such as those caused by satellite swath patterns. It takes your raw images with missing data and fills in those areas using various intelligent methods, producing a complete image ready for analysis or further processing. This is ideal for those who work with Earth observation data.
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Use this if you need to quickly and effectively fill in missing pixel data in satellite or aerial images for improved visualization or downstream machine learning tasks.
Not ideal if your images have more than 25% of their data missing, as the quality of the filled-in regions may be significantly degraded.
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Jupyter Notebook
License
MIT
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Last pushed
Sep 21, 2021
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