A satellite imagery recognition system designed by Lockheed Martin engineers uses open-source deep learning libraries to quickly identify and classify objects or targets in large areas across the world. Company officials say the tool could potentially saving image analysts many man hours categorizing and labeling items within an image.
The model, Global Automated Target Recognition (GATR), runs in the cloud, using Maxar Technologies’ Geospatial Big Data platform (GBDX) to access Maxar’s 100 petabyte satellite imagery library and millions of curated data labels across dozens of categories that expedite the training of deep learning algorithms. Fast GPUs enable GATR to scan a large area very quickly, while deep learning methods automate object recognition and reduce the need for extensive algorithm training. Read More
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