3 citations · 3 across the 3 of their papers we have counts for
4 papers
Enhancing Satellite Imagery using Deep Learning for the Sensor To Shooter Timeline
Matthew Ciolino, Dominick Hambrick, David Noever
The sensor to shooter timeline is affected by two main variables: satellite positioning and asset positioning. Speeding up satellite positioning by adding more sensors or by decrea…
Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models
Josh Kalin, David Noever, Matthew Ciolino +2
Image classification is a common step in image recognition for machine learning in overhead applications. When applying popular model architectures like MobileNetV2, known vulnerab…
Local Translation Services for Neglected Languages
David Noever, Josh Kalin, Matt Ciolino +2
Taking advantage of computationally lightweight, but high-quality translators prompt consideration of new applications that address neglected languages. Locally run translators for…
Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures
David Noever, Wes Regian, Matt Ciolino +3
Small satellite constellations provide daily global coverage of the earth's landmass, but image enrichment relies on automating key tasks like change detection or feature searches.…