Satellite image analysis scales with deep learning, crowdsourcing

Satellite image analysis scales with deep learning, crowdsourcingOne of the few remaining things humans can still do better than machines is recognize patterns in images.  Unfortunately, humans aren’t very fast at processing massive amounts of imagery.  DigitalGlobe, a provider of high-resolution Earth imagery and analytics, processes 4 million square kilometers of satellite imagery every day.  “There aren’t enough intelligence analysts in the world to put eyes on every piece of data that we collect,” said Tony Frazier, senior vice president of defense and intelligence solutions at DigitalGlobe. DigitalGlobe’s solution?  Use the best of both machine and human capabilities. According to Frazier, the company has been training a combination of deep learning tools — NVIDIA graphics processors, the Caffe deep learning framework and the OpenCV computer vision and machine learning software…


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