Image Classification and Initial Orbit Determination of Resident Space Objects (RSO)

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dc.contributor.advisorLee, Regina
dc.contributor.authorVallecillo Baires, Andrea Maria
dc.date.accessioned2024-07-18T21:17:03Z
dc.date.available2024-07-18T21:17:03Z
dc.date.copyright2024-02-01
dc.date.issued2024-07-18
dc.date.updated2024-07-18T21:17:03Z
dc.degree.disciplineEarth & Space Science
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractThe importance of Space Situational Awareness (SSA) research is steadily growing due to continuous launches of new technologies, leading to increased congestion and potential collisions in Earth’s orbit. Optical imagers, based in both ground and space, serve as important tools for observing, detecting, and studying resident space objects (RSOs). Optical imagers capture vast amounts of data that can be used for different applications in SSA research. However, manually inspecting and classifying these images for specific purposes is a time-consuming task. Implementing an automated image classification can streamline the labelling process for optical databases to expedite SSA research. Another significant aspect of SSA research and RSO tracking using optical images involves reliable object identification and Orbit Determination (OD). Angles-only Initial Orbit Determination (IOD) methods are often employed as a starting point to optimize the OD process. These advancements play a pivotal role in enhancing and contributing to SSA research.
dc.identifier.urihttps://hdl.handle.net/10315/42123
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectEngineering
dc.subject.keywordsImage classification
dc.subject.keywordsInitial orbit determination
dc.subject.keywordsSpace situational awareness
dc.subject.keywordsResident space objects
dc.titleImage Classification and Initial Orbit Determination of Resident Space Objects (RSO)
dc.typeElectronic Thesis or Dissertation

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