Low Earth Orbit
Low Earth Orbit (LEO) is the region of space closest to Earth, increasingly utilized for satellite constellations offering communication and Earth observation services. Current research focuses on optimizing these constellations through efficient resource management (e.g., using quantum annealing for satellite clustering, federated learning for distributed model training), improving satellite navigation and control (e.g., via sensor fusion and advanced filtering techniques), and enhancing data analysis capabilities (e.g., employing deep learning for image processing and space object tracking). These advancements are crucial for improving the efficiency, reliability, and safety of LEO operations, impacting various fields from telecommunications and Earth science to space debris mitigation and autonomous space systems.
Papers
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services
Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti
Autonomous Guidance Navigation and Control of the VISORS Formation-Flying Mission
Tommaso Guffanti, Toby Bell, Samuel Y. W. Low, Mason Murray-Cooper, Simone D'Amico