4/17/2023 0 Comments Spacenet satellite internetWill not hand over your personal information to any third parties. If you opt out we will not be able to offer you personalised ads and You may exercise your right to opt out of the sale of personal Personalize your experience with targeted ads. These cookies collect information for analytics and to Sale of your personal information to third parties. Under the California Consumer Privacy Act, you have the right to opt-out of the This article was first posted on Defense Systems, a sister site to GCN. The post on AWS gives instruction on how to access the site. The imagery on SpaceNet is GeoTIFF satellite imagery with GeoJSON used for building footprints. We must rely on our partners in science, academia and industry to help us stay ahead of technology trends.” “These new actors in our mission space are alive with energy and ideas that enhance our collective contribution to our national security. “We know that what got us here won’t get us to where we need to be in the future,” NGA Director Robert Cardillo said. NGA said the collaborative initiative will help the agency refine and improve its own services. NGA provides a variety of services, including its far-reaching Map of the World, which pulls together geospatial intelligence, imagery analysis and other factors to create a cloud-based foundation for multiservice integration of intelligence. CosmiQ Works developed scripts to preprocess satellite imagery for machine learning frameworks and evaluation code to measure the effectiveness of object detection results. Nvidia has used the SpaceNet data in its DIGITS GPU training system, which applies deep learning to automated building detection in the SpaceNet 3-band imagery. (The first location with building information released was Rio de Janeiro, site of the recent Olympics.) The dataset also offers 220,594 building footprints that SpaceNet said could be used as training data for machine learning. SpaceNet’s current collection holds about 1,900 square kilometers of full-resolution 50-centimeter imagery collected from DigitalGlobe’s WorldView-2 commercial satellite. SpaceNet presents an opportunity to test and train new generations of analysis tools for sifting through massive data sets of imagery. It offers a trove of free commercial satellite imagery and labeled training data available via Amazon Web Services with the goal of fostering “innovation in developing computer vision algorithms to automatically extract information from remote sensing data,” according to a post at AWS. NGA said this month it will take part in SpaceNet, a collaboration among DigitalGlobe, In-Q-Tel’s CosmiQ Works and Nvidia that applies enhanced automation for geospatial intelligence. The National Geospatial-Intelligence Agency, which provides imagery, geospatial information and analysis to the intelligence community, Department of Defense and others, is joining a private-sector consortium effort to help improve its services.
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