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

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.