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Simulation of resident space objects detection from space-based optical imaging
Sensors and Systems for Space Applications XIII, 2020The United States Space Surveillance Network catalogs around 23,000 Resident Space Objects (RSOs). The completeness of their coverage of the true RSO population decreases gradually with object size and radar reflectivity. While the population of cm level space debris is poorly represented in the catalogs these space bullets can cause severe damage to ...
Maxime Vernier +3 more
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Contributions of the OH Airglow to Resident Space Object Irradiance
2005Abstract : A goal of space situational awareness is the detection and characterization of resident space objects. An around-the-clock capability depends on the ability to observe the space object under a variety of illumination conditions. In this report, we focus on space-based sensors operating in the visible, near-infrared and short-wave infrared ...
James W. Duff, John Gruninger
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Due to the growing number of fragmentationrelated debris and the launch of mega constellations of satellites, the characterization of Resident Space Objects has been assuming a growing importance in the context of Space Situational Awareness programs to ...
Roberto Opromolla, Giancarmine Fasano
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Proximity Operations Testing with a Rotating and Translating Resident Space Object
AIAA Guidance, Navigation, and Control Conference, 2009Hardware-In-The-Loop (HWIL) test results using guidance, navigation, and control software to perform the proximity operations between a noncooperative rotating and translating Resident Space Object (RSO) and an Agile Space Vehicle (ASV) are presented.
Jeremiah DiMatteo +3 more
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Estimation of thruster plumes for resident space object optical observation
Sensors and Systems for Space Applications XIII, 2020With the ever-growing number of resident space objects (RSOs) surrounding the Earth, it is imperative that we develop techniques for determining their current and future state by leveraging a collection of radio frequency and optical observations to maintain space domain awareness (SDA). The state of an RSO at a future time is determined by its current
Keith F. Prussing +2 more
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Astrometric Data for Early Time Series Classification of Resident Space Objects
Journal of Aerospace Information SystemsThe classification of resident space objects (RSOs) is crucial for space situational awareness due to its importance in national defense and the rapid growth of commercially launched RSOs. Machine learning (ML) and deep learning (DL) techniques now facilitate classification of RSOs based on sensor observations; however, they are often constrained by ...
Giovanni Lavezzi +7 more
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Machine Learning Classification of Malicious Resident Space Objects
AIAA SCITECH 2022 Forum, 2022Derick Whited +2 more
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2021 IEEE International Conference on Imaging Systems and Techniques (IST), 2021
Bharath Kumar Reddy Mandadi +9 more
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Bharath Kumar Reddy Mandadi +9 more
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Autonomous Optical Navigation for Resident Space Object Exploration
AIAA Scitech 2020 Forum, 2020Aneesh Heintz, Mason A. Peck
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