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Showing 1 to 13 of 13 for “"resident space objects"”.
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Image Classification and Initial Orbit Determination of Resident Space Objects (RSO)
The 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, …
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Astrometric and Photometric Data Fusion in Machine Learning-Based Characterization of Resident Space Objects
In this dissertation, a topic fundamental to Space Situational Awareness (SSA) is considered: resident space object (RSO) physical and dynamical property estimation (characterization). This topic is explored by leveraging both simulated and observational data of RSOs in conjunction with physics- …
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Encoding the Sensor Allocation Problem for Reinforcement Learning
Traditionally, space situational awareness (SSA) sensor networks have relied on dynamic programming theory to generate tasking plans which govern how sensors are allocated to observe resident space objects. Deep reinforcement learning (DRL) techniques, with their ability to be trained on simulated …
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satdatagen: a Python Library for Satellite Sensor Task Scheduler Support
The number of objects in Earth’s orbit is increasing rapidly, raising urgency for intensified observations of satellites and other resident space objects (RSOs) to manage space traffic and prevent collisions. Current methods for RSO detection and tracking rely on ground-based and space-based …
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Estimation of Spacecraft Attitude Motion and Vibrational Modes Using Simultaneous Dual-Latitude Ground-Based Data
<p>Cutting-edge Space Situational Awareness (SSA) research calls for improved methods for rapidly characterizing resident space objects. In this thesis, this will take the form of speeding up convergence of spacecraft attitude estimates, and of a non-model-based approach to the detection of …
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Space Image Processing and Orbit Estimation Using Small Aperture Optical Systems
… orbit of satellites since the beginning of the Space Race. Given the ever increasing number of objects in orbit today, the need for accurate space situational awareness (SSA) data has never been greater. Small aperture (< 0:5m) optical systems, increasingly popular in both amateur and …
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A Systems Framework for Multi-Messenger Astronomy
… a set of narrow-field, large-aperture ground- or space-based telescopes. The second case study regards using star tracker imagery from LEO satellite constellations to improve our knowledge of resident space objects Ð active satellites and debris. Traditionally, orbit determination relies on …
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Optical Tracking and Spectral Characterization of Cubesats for Operational Missions
… of the CubeSat standard, the number of small objects in orbit are increasing at a faster pace than ever. As a result, a cascading collision event seems inevitable in the near future.</p> <p>The United States Strategic Command tracks and determines the orbit of resident space objects using a …
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Angles-only navigation technique for maneuver-free spacecraft proximity operations
… between the surveyor and the target. In the space environment, the orbital dynamics are inherently nonlinear and natural orbit perturbations have the effect of continuous micro-maneuvers. These advantageous conditions present an opportunity to overcome the ambiguity problem and enable …
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Adaptive Methods of Resident Space Object Identification for Space Situational Awareness
<p>One of the fundamental tenets of Space Situational Awareness (SSA) is the detection and sub sequent identification of Resident Space Objects (RSOs) within unresolved optical space imagery. This function is vital to the documentation and tracking of RSOs in their respective operational orbits, …
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Modeling the Future Space Debris Population and Orbital Capacity
… thousands of satellites have been proposed, with SpaceX’s Starlink satellite constellation now reaching more than 5400 operational satellites. This denser LEO environment underscores the urgent need for models to predict and manage the risk of collisions and the sustainable use of space. Many …
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Autonomous Space Surveillance for Arbitrary Domains
<p>Space is becoming increasingly congested every day and the task of accurately tracking satellites is paramount for the continued safe operation of both manned and unmanned space missions. In addition to new spacecraft launches, satellite break-up events and collisions generate large amounts of …
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Unresolved Image Simulation for Space Situational Awareness Applications
… around Earth is at best a guess. Decades of spaceflight, debris buildup, and vehicle collisions have contributed to a large number of objects that are simply not able to be catalogued. Ongoing efforts to catalog debris in orbit have reached limits by conventional measures and as such, …