Towards image processing of reentry event

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 their understanding accurate modelling are required. On 24th of October 2020, two cameras AMOS system in Hawaiian Islands recorded event rocket’s stage. In presented work, we aim improve automate process fragment identification between simultaneously acquired video recordings this event. We presenting whole processing pipeline. First segmentation performed identify cluster interest flying fragments within that all frames. information used create tracks individual – frame be further associated recordings.