ASTRIA Ontology: Open, Standards-based, Data-aggregated Representation of Space Objects [PDF]
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
core +1 more source
Star sensor image on-board processing for orbiting objects detection-spot
The increasing number of space activities has led to the growth of the population of Resident Space Objects (RSOs), i.e., satellites and space debris.
M. Mastrofini +5 more
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
core +1 more source
The accurate estimation of the attitude of Resident Space Objects (RSOs) is a fundamental task in Space Situational Awareness (SSA) applications. Light curves (LCs) are widely used for this purpose due to their availability and non-intrusive nature ...
Roberto Opromolla +5 more
core
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
core +2 more sources
Experimental Comparison of Radon Domain Approaches for Resident Space Object's Parameter Estimation. [PDF]
Ghio S +5 more
europepmc +1 more source
RSOnet: An Image-Processing Framework for a Dual-Purpose Star Tracker as an Opportunistic Space Surveillance Sensor. [PDF]
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]
Massimi F, Ferrara P, Benedetto F.
europepmc +1 more source
Feasibility Analysis on the Utilization of the Iridium Satellite Communications Network for Resident Space Objects in Low Earth Orbit [PDF]
In recent years, space has become more congested and contested, particularly in low Earth orbit (LEO), generating the need for a low-latency capability to provide precise orbital knowledge and accurate space situational awareness information. This thesis
Claybrook, John R.
core +1 more source
Recurrent Neural Networks for Resident Space Objects Characterization in MEO and GEO
Resident Space Objects (RSOs) characterization is a key activity to support several Space Situational Awareness functions, such as accurate orbit prediction and collision avoidance.
Cimmino, Nicola +5 more
core +1 more source

