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Tony Frazier: DigitalGlobe Applies Crowdsourcing, Deep-Learning Tools in Satellite Image Analysis

Tony Frazier: DigitalGlobe Applies Crowdsourcing, Deep-Learning Tools in Satellite Image Analysis - top government contractors - best government contracting event
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Tony Frazier
Tony Frazier

Tony Frazier, senior vice president of government solutions at DigitalGlobe, has said the company works to analyze large amounts of satellite images and data through deep-learning tools and crowdsourcing, GCN reported Wednesday.

Frazier told GCN columnist Patrick Marshall in an interview that OpenCV computer vision software library, Caffe deep-learning framework and NVIDIA graphics processors are some of the deep-learning systems that DigitalGlobe uses to initially screen satellite images for objects and events.

He also noted that the use of deep-learning algorithms has helped the company narrow down the search for infrastructure, objects and activities for government customers.

Such algorithms that run on the DigitalGlobe-built Geospatial Big Data platform learn over time through the integration of human analyses of such images generated via crowdsourcing, Frazier added.

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Written by Jane Edwards

is a staff writer at Executive Mosaic, where she writes for ExecutiveBiz about IT modernization, cybersecurity, space procurement and industry leaders’ perspectives on government technology trends.

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