<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The space debris population is constantly increasing, including large spare upper stages and spacecraft. Atmospheric re-entry events caused by these artificial objects pose a threat to the ground-based population and their understanding and accurate modelling are required. On the 24th of October 2020, two cameras of the AMOS system in the Hawaiian Islands recorded the re-entry event of spare rocket’s upper stage. In the presented work, we aim to improve and automate the process of fragment identification between simultaneously acquired video recordings of this event. We are presenting the whole processing pipeline. First segmentation is performed to identify the cluster of interest and flying fragments within that cluster in all frames. The acquired information is used to create tracks of individual flying fragments – frame objects to be further associated between recordings.</p>
</abstract>

The space debris population is constantly increasing, including large spare upper stages and spacecraft. Atmospheric re-entry events caused by these artificial objects pose a threat to the ground-based population and their understanding and accurate modelling are required. On the 24th of October 2020, two cameras of the AMOS system in the Hawaiian Islands recorded the re-entry event of spare rocket’s upper stage. In the presented work, we aim to improve and automate the process of fragment identification between simultaneously acquired video recordings of this event. We are presenting the whole processing pipeline. First segmentation is performed to identify the cluster of interest and flying fragments within that cluster in all frames. The acquired information is used to create tracks of individual flying fragments – frame objects to be further associated between recordings.

Towards image processing of reentry event

Journal of Applied Mathematics, Statistics and Informatics

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Towards image processing of reentry event"}

The space debris population is constantly increasing, including large spare upper stages and spacecraft. Atmospheric re-entry events caused by these artificial...

Towards image processing of reentry event

Online veröffentlicht: 09. Juni 2023

Seitenbereich: 47 - 60

DOI: https://doi.org/10.2478/jamsi-2023-0003

Schlüsselwörter
image processing, space debris, segmentation, object tracking, reentry

© 2023 D. Kyselica et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Towards image processing of reentry event

Online veröffentlicht: 09. Juni 2023

Seitenbereich: 47 - 60

DOI: https://doi.org/10.2478/jamsi-2023-0003

Schlüsselwörterimage processing, space debris, segmentation, object tracking, reentry

© 2023 D. Kyselica et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
image processing, space debris, segmentation, object tracking, reentry