Daniel HoganinThe DownLinQA Closer Look at the SpaceNet Change and Object Tracking (SCOT) MetricPreface: SpaceNet LLC is a nonprofit organization dedicated to accelerating open source, artificial intelligence applied research for…Feb 8, 2021Feb 8, 2021
Daniel HoganinThe DownLinQDeploying the SpaceNet 7 Baseline on AWSAdapted by Daniel Hogan from a post by Adam Van Etten and Nick WeirSep 25, 2020Sep 25, 2020
Daniel HoganinThe DownLinQThe SpaceNet Change and Object Tracking (SCOT) MetricDaniel Hogan and Adam Van EttenAug 13, 2020Aug 13, 2020
Daniel HoganinThe DownLinQIntroducing the Solaris Multimodal Preprocessing LibraryWithin the latest release of Solaris, available now, is a new resource for geospatial deep learning: the Solaris Multimodal Preprocessing…Jul 16, 20201Jul 16, 20201
Daniel HoganinThe DownLinQThe SpaceNet 6 BaselinePreface: SpaceNet LLC is a nonprofit organization dedicated to accelerating open source, artificial intelligence applied research for…Mar 5, 20202Mar 5, 20202
Daniel HoganinThe DownLinQSAR 201: An Introduction to Synthetic Aperture Radar, Part 2By Daniel Hogan (In-Q-Tel CosmiQ Works) and Jason Brown (Capella Space) with the CosmiQ Works and Capella teams.Feb 13, 2020Feb 13, 2020
Daniel HoganinThe DownLinQSAR 101: An Introduction to Synthetic Aperture RadarBy Daniel Hogan (In-Q-Tel CosmiQ Works) and Jason Brown (Capella Space) with the CosmiQ Works and Capella teams.Feb 5, 20204Feb 5, 20204
Daniel HoganinThe DownLinQRobustness of Limited Training Data: Part 5Deep learning models for interpreting satellite imagery show increasing performance as the amount of training data is increased. We’ve…Oct 16, 2019Oct 16, 2019
Daniel HoganinThe DownLinQRobustness of Limited Training Data: Part 4When it comes to the relationship between geospatial neural network performance and the amount of training data, do geographic differences…Sep 25, 2019Sep 25, 2019
Daniel HoganinThe DownLinQRobustness of Limited Training Data: Part 3When training a deep neural network to identify building footprints in satellite imagery, having more training data never hurts. But how…Sep 17, 2019Sep 17, 2019