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A comparison of Radon domain approaches for resident space object’s parameter estimation

2020 21st International Radar Symposium (IRS), 2020
The amount of space debris orbiting around the Earth has seen a dramatic growth through the recent years. This growth is fed by an avalanche multiplication process. In fact, according to the “Kessler syndrome”, any collision generates more debris that then collide with other objects and produce further debris.
Ghio S., Martorella M.
openaire   +1 more source

Resident Space Object Characterization Using Polarized Light Curves

Journal of Guidance, Control, and Dynamics, 2023
Light curves, or the time-history of photometric brightness, have previously been demonstrated to allow for estimation of a space object’s attitude, shape, and surface parameters. However, these methods are subject to many limitations, including the need for accurate initial estimates to initialize filters, and the inability to regularly estimate ...
Andrew D. Dianetti, John L. Crassidis
openaire   +1 more source

In-Orbit Tracking of Resident Space Objects: A Comparison of Monocular and Stereoscopic Vision

IEEE Transactions on Aerospace and Electronic Systems, 2014
This paper develops new methods for vision-based satellite attitude control aimed at space-based optical tracking of resident space objects (RSOs). An Earth-orbiting chaser satellite equipped with either one or two body-fixed cameras can successfully track an RSO provided that the target is kept within the camera field of view.
Shai Segal, Pini Gurfil, Kamran Shahid
openaire   +2 more sources

Simulation of resident space objects detection from space-based optical imaging

Sensors and Systems for Space Applications XIII, 2020
The 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

2005
Abstract : 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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Regularized luni-solar gravity dynamics on resident space objects

Astrodynamics, 2020
Resident space object population in highly elliptical high perigee altitude (> 600 km) orbits is significantly affected by luni-solar gravity. Using regularization, an analytical orbit theory with luni-solar gravity effects as third-body perturbations in terms of Kustaanheimo-Stiefel regular elements is developed.
Harishkumar Sellamuthu   +1 more
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A Cython Bound Tracklet- Tracklet Correlation for Resident Space Objects

2023 IEEE Aerospace Conference, 2023
Rack, Kathrin   +6 more
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Proximity Operations Testing with a Rotating and Translating Resident Space Object

AIAA Guidance, Navigation, and Control Conference, 2009
Hardware-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
openaire   +1 more source

Astrometric Data for Early Time Series Classification of Resident Space Objects

Journal of Aerospace Information Systems
The 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, 2022
Derick Whited   +2 more
openaire   +1 more source

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