Astronomers Use AI to Combat Satellite Streaks in Night Sky Observations
Key Points Machine learning was developed to detect satellite streaks in telescope images. Thousands of low-Earth orbit satellites are disrupting astronomical observations globally. AI achieved 96% accuracy in identifying satellite streaks but struggles to remove them from bright images fully. Open-source tools for cleaning up contaminated images are expected by next year. Astronomers have developed a machine-learning algorithm to detect satellite streaks in night sky images with high accuracy, offering a potential solution to the increasing interference caused by communication satellites. While the new technology won’t completely eliminate the issue of satellites disrupting astronomical observations, it can significantly help mitigate...
