Towards image processing of reentry event

IF 0.3 Q4 MATHEMATICS, APPLIED Journal of Applied Mathematics Statistics and Informatics Pub Date : 2023-05-01 DOI:10.2478/jamsi-2023-0003
D. Kyselica, J. Silha, R. Ďurikovič, D. Bartková, J. Tóth
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Abstract

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.
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关于再入事件的图像处理
空间碎片数量不断增加,包括大型备用级和航天器。这些人造物体引起的重返大气层事件对地面人口构成威胁,需要对其进行了解并建立准确的模型。2020年10月24日,夏威夷群岛AMOS系统的两台摄像机记录了备用火箭上部再入事件。在本文中,我们的目标是改进和自动化同时获取的该事件视频记录之间的片段识别过程。我们正在展示整个加工流水线。首先进行分割,在所有帧中识别感兴趣的簇和簇内的飞行碎片。获取的信息用于创建单个飞行碎片的轨道-帧对象在记录之间进一步关联。
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发文量
8
审稿时长
20 weeks
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