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

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.

Check Also

StackRox

StackRox to Help Secure Cloud-Based Financial Infrastructure Under DHS Contract

StackRox has received a contract from the Department of Homeland Security to help a large U.S. financial services provider  protect cloud-based applications through the implementation of a Kubernetes and container security platform.

NDP

Space Force Taps Net-Centric for Battlespace Awareness Center Support

Boulder, Colo.-based engineering company Net-centric Design Professionals has secured a two-year, $28.6M contract from the U.S. Air Force to support the Overhead Persistent Infrared Battlespace Awareness Center at Buckley Air Force Base.

DARPA

DARPA Seeks Security Tech for Internet of Things Devices Under CHARIOT Program

The Defense Advanced Research Projects Agency has asked industry to submit research concepts for “revolutionary security technologies” that can help protect the increasing number of internet of things-based devices.