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Neural Network Based Approach to Recognition of Meteor Tracks in the Mini-EUSO Telescope Data

Neural Network Based Approach to Recognition of Meteor Tracks in the Mini-EUSO Telescope Data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2894588472

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

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Scope and Contents

Contents

Mini-EUSO is a wide-angle fluorescence telescope that registers ultraviolet (UV) radiation in the nocturnal atmosphere of Earth from the International Space Station. Meteors are among multiple phenomena that manifest themselves not only in the visible range but also in the UV. We present two simple artificial neural networks that allow for recogniz...

Alternative Titles

Full title

Neural Network Based Approach to Recognition of Meteor Tracks in the Mini-EUSO Telescope Data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2894588472

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2894588472

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2311.14983

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