Airbus Defence and Space Uses Deep Learning and Google Cloud to Deliver Real-Time Satellite Imagery
Airbus Defence and Space's Intelligence business line rebuilt its satellite imagery platform, OneAtlas, on Google Cloud, using Kubernetes Engine, Cloud Pub/Sub, Cloud Storage and Cloud Datastore to serve more than 1,200 customers in over 100 countries. Airbus trained TensorFlow deep learning models to recognize cloud cover, cutting its cloud-detection error rate from 11% to 3%, and the new platform reduced the time for customers to access satellite imagery from hours to less than half a second while adding millions of square kilometers of imagery weekly.
Overview
Airbus Defence and Space's Intelligence business line rebuilt its satellite imagery platform, OneAtlas, on Google Cloud, using Kubernetes Engine, Cloud Pub/Sub, Cloud Storage and Cloud Datastore to serve more than 1,200 customers in over 100 countries. Airbus trained TensorFlow deep learning models to recognize cloud cover, cutting its cloud-detection error rate from 11% to 3%, and the new platform reduced the time for customers to access satellite imagery from hours to less than half a second while adding millions of square kilometers of imagery weekly.
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Inspect the highlighted sourceThe challenge
Airbus Intelligence's existing satellite imagery solution could not speed up production and delivery of image and data products fast enough to meet growing customer expectations; customers had to choose images from a catalogue and wait several hours to receive them, and the specialized imagery required customers to have significant technical capability to use it.
The solution
Airbus built a new platform called OneAtlas on Google Cloud, using Google Kubernetes Engine to orchestrate image-processing workloads and scale compute up and down with demand, Cloud Pub/Sub for messaging, Cloud Datastore and Cloud Storage to hold and serve imagery and data, and trained deep learning algorithms in TensorFlow to automatically recognize cloud cover in satellite imagery.
Sources
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