2 citations · 3 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2025★ 2 cited
Rapid Automated Mapping of Clouds on Titan With Instance Segmentation
Zachary Yahn, Douglas M Trent, Ethan Duncan +3
Despite widespread adoption of deep learning models to address a variety of computer vision tasks, planetary science has yet to see extensive utilization of such tools to address i…
astro-ph.EP2023★ 1 cited
Feature Extraction and Classification from Planetary Science Datasets enabled by Machine Learning
Conor Nixon, Zachary Yahn, Ethan Duncan +9
In this paper we present two examples of recent investigations that we have undertaken, applying Machine Learning (ML) neural networks (NN) to image datasets from outer planet miss…