AINeutralarXiv – CS AI · 10h ago6/10
🧠
Detecting Satellites in Radio-Frequency Data via Semi-Supervised Learning
Researchers present a semi-supervised learning workflow for detecting and classifying satellites in radio-frequency data, combining Non-negative Matrix Factorization with expert interpretation to reduce dependence on large labeled datasets. This approach addresses the challenge of space domain awareness by leveraging unlabeled RF observations to identify patterns in satellite signals, space debris, and ionospheric conditions without extensive manual annotation.