Advancing star tracker technologies through CNN application, this article focuses on enhancing accuracy under challenging conditions like noise and stray light. Highlights include:

• Development of a specific CNN model fine-tuned for star detection in noisy environments.
• Evaluation of the model in varied testing conditions to ensure reliability and efficiency.
• Potential implications for satellite navigation and aerospace applications.

Why this matters: Improved star trackers are essential for better navigation accuracy, particularly in unmanned aerial vehicles and satellites.