Technical Papers – Machine Learning Applications of SSA

Papers sorted by year (descending) and then alphabetically by title. Use CTRL F to search on this page, or the search option in the side-bar for the whole library.View Archive Programs

If citing a paper from the AMOS Conference proceedings archive, please provide proper attribution by referencing: Copyright © [insert applicable year] Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS) – www.amostech.com

Exploiting Spatial Information in Raw Spectroscopic Imagery using Convolutional Neural Networks (2020)
Zach Gazak, AFRL; Justin Fletcher, SMC/DirSP-G; Ryan Swindle, AFRL; Ian McQuaid, United States Air Force

Keywords: space situational awareness, deep learning, deep convolutional neural networks, computer vision, closely spaced objects

Game Theoretic Synthetic Data Generation for Machine Learning Based Satellite Behavior Detection (2020)
Dan Shen, Intelligent Fusion Technology, Inc; Carolyn Sheaff, Air Force Office of Scientific Research (AFOSR); Genshe Chen, Intelligent Fusion Technology, Inc; Mengqing Guo, Intelligent Fusion Technology, Inc; Nichole Sullivan, Intelligent Fusion Technology, Inc.; Erik Blasch, Air Force Office of Scientific Research (AFOSR); Khanh Pham, Air Force Office of Scientific Research (AFOSR)

Keywords: Space situational awareness, GANs, ResNet, satellite characterization, sensor models, machine learning, general-sum games, 3D-CNN

Machine Learning Implementation for In-Orbit RSO Orbit Estimation Using Star Tracker Cameras (2020)
Siddharth Dave, York University; Ryan Clark, York University; Gabriel Chianelli, York University; Regina Lee, York University

Keywords: Machine learning; star tracker camera; space situational awareness; resident space object; image processing

On-board, Autonomous, Hybrid Spacecraft Subsystem Fault and Anomaly Detection, Diagnosis, and Recovery (2020)
Richard Stottler, Stottler Henke Associates, Inc.; Sowmya Ramachandran, Stottler Henke Associates, Inc.; Christian Belardi, Stottler Henke Associates, Inc.; Rocky Mandayam, Stottler Henke Associates, Inc.

Keywords: Fault Detection Isolation and Recovery (FDIR), Machine Learning, Model-Based Reasoning, Hybrid

Satellite Characterization via Restoration-Free Imaging: A Novel Machine Learning Paradigm for SSA (2020)
Ryan Walden, Georgia State University; Taslim Dosumnu, Georgia State University; Stuart Jefferies, Georgia State University; Daniel Pimentel-Alarcon, University of Wisconsin-Madison

Keywords: SSA, image reconstruction, deep learning, satellite, classification, CNN, transfer learning, convolutional, neural networks

Star-Galaxy Separation via Gaussian Processes with Model Reduction (2020)
Imene Goumiri, Lawrence Livermore National Laboratory; Amanda Muyskens, Lawrence Livermore National Laboratory (LLNL); Michael Schneider, Lawrence Livermore National Laboratory; Benjamin Priest, Lawrence Livermore National Laboratory; Robert Armstrong, Lawrence Livermore National Laboratory

Keywords: Stag-Galaxy, Gaussian Processes, Model Reduction, Machine Learning, Classification