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Deep Learning Model Speeds Up, Automates Satellite Image Analysis

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Massive airplanes mechanically recognized at Chicago’s O’Hare Airport. Picture Credit score: Lockheed Martin

June 9, 2019 – Lockheed Martin develops satellite tv for pc imagery recognition system utilizing open-source deep studying libraries to shortly determine and classify objects or targets in giant areas internationally, doubtlessly saving picture analysts numerous hours manually categorizing and labeling objects inside a picture. International Automated Goal Recognition (GATR) runs within the cloud, utilizing Maxar’s Geospatial Large Knowledge platform (GBDX) to entry Maxar’s 100 petabyte satellite tv for pc imagery library and hundreds of thousands of curated information labels throughout dozens of classes that expedite the coaching of deep studying algorithms. Quick GPU’s let GATR scan a big space in a short time, whereas deep studying strategies automate object recognition and scale back the necessity for in depth algorithm coaching.

GATR teaches itself what the figuring out traits of an object space or goal, for instance, studying the best way to distinguish between a cargo airplane and a navy transport jet. The system scales shortly to scan giant areas, together with whole international locations. GATR makes use of deep studying strategies widespread within the industrial sector and might determine ships, airplanes, buildings, seaports, and plenty of different classes.

“There’s extra industrial satellite tv for pc information than ever obtainable in the present day, and up till now, figuring out objects has been a largely guide course of,” mentioned Maria Demaree, vp and common supervisor of Lockheed Martin House Mission Options. “Synthetic Intelligence fashions like GATR hold analysts in management whereas letting them deal with higher-level duties.”

GATR has a excessive accuracy fee, effectively over 90% on the fashions we’ve examined to this point. It solely took two hours to look your entire state of Pennsylvania for fracking websites – that’s 120,000 sq. kilometers

“I’m not an skilled on what oil manufacturing websites are, and I don’t need to be,” mentioned Mark Pritt, senior fellow at Lockheed Martin and precept investigator for GATR. “This technique teaches itself the defining traits of an object, saving invaluable time coaching an algorithm and in the end letting a picture analyst focus extra on their mission.”

GATR builds on analysis Pritt’s crew pioneered throughout an Intelligence Superior Analysis Tasks Exercise (IARPA) problem, referred to as the “Practical Map of the World.” The Lockheed Martin crew was the one crew from an organization who positioned within the prime 5.


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