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Found 3 papers, 1 papers with code
Scalable Reverse Image Search Engine for NASAWorldview
Our similarity search system was created to be able to identify similar images from a potentially petabyte scale database that are similar to an input image, and for this we had to break down each query image into its features, which were generated by a classification layer stripped CNN trained in a supervised manner.
Scalable Data Balancing for Unlabeled Satellite Imagery
Collecting fully annotated datasets is challenging, especially for large scale satellite systems such as the unlabeled NASA's 35 PB Earth Imagery dataset.
Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments
We compare the model trained with our augmentation techniques on the swath gap-filled data with the model trained on the original swath gap-less data and note highly augmented performance.
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