23 citations · 88 across the 21 of their papers we have counts for
6 papers · 1 filter
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…
Overhead-MNIST: Machine Learning Baselines for Image Classification
Erik Larsen, David Noever, Korey MacVittie +1
Twenty-three machine learning algorithms were trained then scored to establish baseline comparison metrics and to select an image classification algorithm worthy of embedding into…
Rock Hunting With Martian Machine Vision
David Noever, Samantha E. Miller Noever
The Mars Perseverance rover applies computer vision for navigation and hazard avoidance. The challenge to do onboard object recognition highlights the need for low-power, customize…
Overhead MNIST: A Benchmark Satellite Dataset
David Noever, Samantha E. Miller Noever
The research presents an overhead view of 10 important objects and follows the general formatting requirements of the most popular machine learning task: digit recognition with MNI…
Knife and Threat Detectors
David A. Noever, Sam E. Miller Noever
Despite rapid advances in image-based machine learning, the threat identification of a knife wielding attacker has not garnered substantial academic attention. This relative resear…
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.…