Space Domain Awareness
Space Domain Awareness (SDA) focuses on comprehensively monitoring and understanding the space environment, primarily to ensure safe and efficient space operations. Current research emphasizes improving the accuracy and reliability of tracking space objects using advanced techniques like deep learning-based orbit prediction and object classification, often incorporating physics-informed neural networks or Gaussian processes to handle noisy or incomplete data. These advancements are crucial for collision avoidance, improved space traffic management, and enhancing the security and robustness of space-based communication networks.
Papers
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