Advancing Resident Space Object Detection in Telescope Imagery Using YOLOv8
Background: Space situational awareness is becoming increasingly important as the number of Resident Space Objects (RSOs) in Earth’s orbit continues to grow.
Darbhamalla, Surya Teja
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RSOnet: An Image-Processing Framework for a Dual-Purpose Star Tracker as an Opportunistic Space Surveillance Sensor. [PDF]
Sensors (Basel), 2022 Dave S, Clark R, Lee RSK.
europepmc +1 more source
Deep Learning Methods for Space Situational Awareness in Mega-Constellations Satellite-Based Internet of Things Networks. [PDF]
Sensors (Basel), 2022 Massimi F, Ferrara P, Benedetto F.
europepmc +1 more source
, 2018 Maintaining custody of Resident Space Objects (RSOs) is of particular importance to the Space Situational Awareness (SSA) community. Custody can be lost when data providers are unaware of changes in RSO dynamics.
Moriba Jah +9 more
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Resident Space Object Identification in Unresolved Optical Space Imagery via Streak Detection
Accurately identifying resident space objects (RSOs) within optical space imagery poses a key challenge in the realm of Space Situational Awareness (SSA).
Pech, Carolin
core
AN ANALYSIS OF ROTATING RESIDENT SPACE OBJECTS GEOMETRICAL AND DYNAMICAL FEATURE ESTIMATION
, 2019 The amount of resident space objects (RSOs) orbiting around the Earth has seen a dramatic grow through the recent years. Its rising population increases the potential danger to space missions.
GHIO, SELENIA
core
Lessons Learned From Technology Demonstration of Space Situational Awareness Satellite
As the number of Resident Space Objects (RSOs) increases in orbit, the risk of collisions increases. As a result, action needs to be taken to properly detect, identify, and track what objects are in view at a certain time which is an area of research ...
Qashoa, Randa +4 more
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ASTRIA Ontology: Open, Standards-based, Data-aggregated Representation of Space Objects
, 2019 The necessity for standards-based ontologies for long-term sustainability of space operations and safety of increasing space flights has been well-established [6, 7].
Karadkar, Unmil P +5 more
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Predicting the Properties of Resident Space Objects in LEO Using Graph Neural Networks
In recent years, the number of resident space objects (RSOs) in low Earth orbit (LEO) has significantly increased. As a result, decision-making tasks and the overall understanding within the space domain have become more challenging.
Manfletti, Chiara +2 more
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Debris Measurement Analyzer (DMA) is a simulation environment developed to generate data about in-space surveillance using an optical payload. A novel simulation paradigm is presented which combines physical simulation with statistical data about the ...
Koszek, Bartlomiej
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