22 citations · 31 across the 5 of their papers we have counts for
5 papers
Deep Learning for Recognizing Mobile Targets in Satellite Imagery
Mark Pritt
There is an increasing demand for software that automatically detects and classifies mobile targets such as airplanes, cars, and ships in satellite imagery. Applications of such au…
Satellite Image Classification with Deep Learning
Mark Pritt, Gary Chern
Satellite imagery is important for many applications including disaster response, law enforcement, and environmental monitoring. These applications require the manual identificatio…
Detecting the Presence of Vehicles and Equipment in SAR Imagery Using Image Texture Features
Michael Harner, Austen Groener, Mark Pritt
In this work, we present a methodology for monitoring man-made, construction-like activities in low-resolution SAR imagery. Our source of data is the European Space Agency Sentinel…
A Comparison of Deep Learning Object Detection Models for Satellite Imagery
Austen Groener, Gary Chern, Mark Pritt
In this work, we compare the detection accuracy and speed of several state-of-the-art models for the task of detecting oil and gas fracking wells and small cars in commercial elect…
Globally-scalable Automated Target Recognition (GATR)
Gary Chern, Austen Groener, Michael Harner +4
GATR (Globally-scalable Automated Target Recognition) is a Lockheed Martin software system for real-time object detection and classification in satellite imagery on a worldwide bas…