2 papers
astro-ph.IM2025
HS-ANET: Star Spectral Type Enhanced Astrometric Calibration for Hyper Spectral Space Imaging
Kevin Phan, William Mitchell, David Chaparro +2
Traditional lost-in-space algorithms, such as those implemented in astrometry.net, solve for spacecraft orientation by matching observed star fields to celestial catalogs using geo…
cs.LG2022
SpectraNet: Learned Recognition of Artificial Satellites From High Contrast Spectroscopic Imagery
J. Zachary Gazak, Ian McQuaid, Ryan Swindle +2
Effective space traffic management requires positive identification of artificial satellites. Current methods for extracting object identification from observed data require spatia…