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Machine learning-based approach for ballistic coefficient estimation of resident space objects in LEO

Nicola Cimmino, Roberto Opromolla, Giancarmine Fasano

2023Advances in Space Research16 citationsDOI

Topics & Concepts

Computer scienceGeostationary orbitContext (archaeology)Orbit (dynamics)Drag coefficientSet (abstract data type)RangingAlgorithmArtificial intelligenceMachine learningAerospace engineeringSatelliteDragGeologyPaleontologyProgramming languageTelecommunicationsEngineeringAstro and Planetary ScienceIonosphere and magnetosphere dynamicsSpace Satellite Systems and Control
Machine learning-based approach for ballistic coefficient estimation of resident space objects in LEO | Litcius