Search Results for author:
Found 3 papers, 0 papers with code
A Comparison of Deep Learning Object Detection Models for Satellite Imagery
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 electro-optical satellite imagery.
Globally-scalable Automated Target Recognition (GATR)
On a single GPU it processes imagery at a rate of over 16 square km/sec (or more than 10 Mpixels/sec), and it requires only two hours to search the entire state of Pennsylvania for gas fracking wells.
Detecting the Presence of Vehicles and Equipment in SAR Imagery Using Image Texture Features
In this work, we present a methodology for monitoring man-made, construction-like activities in low-resolution SAR imagery.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
