Method for Assessing the Efficiency of Space Debris Image Formation and Processing by Orbital Computer Vision Systems

The paper proposes a method for assessing the efficiency of orbital computer vision systems (OCVS) for space debris (SD) monitoring, based on the metric of the total number of detected objects with an acceptable trajectory error for a specific OCVS as part of a spacecraft in a modeled space environment. The method incorporates models of the environment, objects, as well as the hardware and software components of the OCVS. Functional dependencies are presented, demonstrating the mutual influence of various modules included in the proposed method. The application of the method is demonstrated through the comparison of different system configurations, enabling quantitative evaluation of their efficiency and the justified optimization of system parameters.

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Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1109/dspa64310.2025.10977860
Citations
1
Primary Topic
Environmental Sustainability and Technology
Type
article
Field-Weighted Citation Impact
2.42
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article

Method for Assessing the Efficiency of Space Debris Image Formation and Processing by Orbital Computer Vision Systems

P. Baranov, Ruslan S. Siryi
1 citations
Environmental Sustainability and Technology
2.42
article

Method for Assessing the Efficiency of Space Debris Image Formation and Processing by Orbital Computer Vision Systems

P. Baranov, Ruslan S. Siryi
article en
1 citations

Abstract

The paper proposes a method for assessing the efficiency of orbital computer vision systems (OCVS) for space debris (SD) monitoring, based on the metric of the total number of detected objects with an acceptable trajectory error for a specific OCVS as part of a spacecraft in a modeled space environment. The method incorporates models of the environment, objects, as well as the hardware and software components of the OCVS. Functional dependencies are presented, demonstrating the mutual influence of various modules included in the proposed method. The application of the method is demonstrated through the comparison of different system configurations, enabling quantitative evaluation of their efficiency and the justified optimization of system parameters.

Saint Petersburg State Electrotechnical University (RU)
Openalex Percentile: Top 12%
Environmental Sustainability and Technology
2.42
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