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Deep learning model speeds up automates satellite image analysis
05 June 2019
Lockheed Martin (NYSE: LMT) develops satellite imagery recognition system using open-source deep learning libraries to quickly identify and classify objects or targets in large areas across the world, potentially saving image analysts countless hours manually categorising and labelling items within an image.
Global Automated Target Recognition runs in the cloud, using Maxar's 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 GPU's let GATR scan a large area very quickly, while deep learning methods automate object recognition and reduce the need for extensive algorithm training.
Source: Lockheed Martin
Image credit: Lockheed Martin - Large airplanes automatically identified at Chicago's O'Hare Airport.