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Active Decision Support System for Observation Scheduling Based on Image Analysis at the BOROWIEC SLR Station

The dynamic exploration of the orbits from the LEO-to-GEO region, for the needs of telecommunication services, science, industry and defense, forces monitoring of the trajectory of such orbital objects for the safety of spacecraft traffic and, in the case of deorbitation, for the safety of ground in...

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Autor principal: Suchodolski, Tomasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611065/
https://www.ncbi.nlm.nih.gov/pubmed/36298390
http://dx.doi.org/10.3390/s22208040
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author Suchodolski, Tomasz
author_facet Suchodolski, Tomasz
author_sort Suchodolski, Tomasz
collection PubMed
description The dynamic exploration of the orbits from the LEO-to-GEO region, for the needs of telecommunication services, science, industry and defense, forces monitoring of the trajectory of such orbital objects for the safety of spacecraft traffic and, in the case of deorbitation, for the safety of ground infrastructure. First off all, the need for trajectory monitoring in order to avoid collisions can be distinguished, as well as the need to calibrate the satellite on-board devices. This is mainly carried out by radar measurements, by passive optical acquisition and active laser measurements. The number of orbital objects increases rapidly, and the number of tracking stations for the second is relatively small. This leads to a situation in which each tracking station must select which of the objects will be subject to the measurement task. In the case of the Satellite Laser Ranging (SLR) or passive optical set-up, the weather conditions are an important factor enabling the measurement of the orbital object trajectory. This paper presents an innovative observation scheduling support system based on the analysis of the images obtained from the Allsky camera. The information of the degree of cloud cover, the position of the Sun/Moon in connection with the graphical projections of the ephemeris trajectory of the orbital objects allows increasing the measurement efficiency. The presented solution is part of a larger number of improvements carried out by the author, which lead to the upgrade of SLR stations in terms of new technologies and safety of use.
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spelling pubmed-96110652022-10-28 Active Decision Support System for Observation Scheduling Based on Image Analysis at the BOROWIEC SLR Station Suchodolski, Tomasz Sensors (Basel) Article The dynamic exploration of the orbits from the LEO-to-GEO region, for the needs of telecommunication services, science, industry and defense, forces monitoring of the trajectory of such orbital objects for the safety of spacecraft traffic and, in the case of deorbitation, for the safety of ground infrastructure. First off all, the need for trajectory monitoring in order to avoid collisions can be distinguished, as well as the need to calibrate the satellite on-board devices. This is mainly carried out by radar measurements, by passive optical acquisition and active laser measurements. The number of orbital objects increases rapidly, and the number of tracking stations for the second is relatively small. This leads to a situation in which each tracking station must select which of the objects will be subject to the measurement task. In the case of the Satellite Laser Ranging (SLR) or passive optical set-up, the weather conditions are an important factor enabling the measurement of the orbital object trajectory. This paper presents an innovative observation scheduling support system based on the analysis of the images obtained from the Allsky camera. The information of the degree of cloud cover, the position of the Sun/Moon in connection with the graphical projections of the ephemeris trajectory of the orbital objects allows increasing the measurement efficiency. The presented solution is part of a larger number of improvements carried out by the author, which lead to the upgrade of SLR stations in terms of new technologies and safety of use. MDPI 2022-10-21 /pmc/articles/PMC9611065/ /pubmed/36298390 http://dx.doi.org/10.3390/s22208040 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Suchodolski, Tomasz
Active Decision Support System for Observation Scheduling Based on Image Analysis at the BOROWIEC SLR Station
title Active Decision Support System for Observation Scheduling Based on Image Analysis at the BOROWIEC SLR Station
title_full Active Decision Support System for Observation Scheduling Based on Image Analysis at the BOROWIEC SLR Station
title_fullStr Active Decision Support System for Observation Scheduling Based on Image Analysis at the BOROWIEC SLR Station
title_full_unstemmed Active Decision Support System for Observation Scheduling Based on Image Analysis at the BOROWIEC SLR Station
title_short Active Decision Support System for Observation Scheduling Based on Image Analysis at the BOROWIEC SLR Station
title_sort active decision support system for observation scheduling based on image analysis at the borowiec slr station
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611065/
https://www.ncbi.nlm.nih.gov/pubmed/36298390
http://dx.doi.org/10.3390/s22208040
work_keys_str_mv AT suchodolskitomasz activedecisionsupportsystemforobservationschedulingbasedonimageanalysisattheborowiecslrstation