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Finding meteor cluster candidates in series of astronomical images

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00385750" target="_blank" >RIV/68407700:21230/25:00385750 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://ui.adsabs.harvard.edu/abs/2025JIMO...53..167K/abstract" target="_blank" >https://ui.adsabs.harvard.edu/abs/2025JIMO...53..167K/abstract</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Finding meteor cluster candidates in series of astronomical images

  • Popis výsledku v původním jazyce

    Each night, astronomical systems record a significant amount of image data and indicate a variety of meteor events. In recent years, specific phenomena of parallel meteor occurrences or even meteor clusters have also been reported. These phenomena are typically identified through a process of post-evaluation of meteor trajectories. However, astronomical systems usually do not focus so much on such phenomena, and thus automatic real-time identification or post-identification is rather rare. This presents an opportunity for the development of novel approaches to signal and identify candidate meteors that are related to each other (they have disintegrated from the same parental object). In light of this, we have proposed an approach to indicate these events in astronomical image sequences. The proposed method employs multiple meteor detection based on Probabilistic Hough Transform with further utilization of its output parameters. The detected events are evaluated according to their temporal sequence and proximity. Finally, the similarity of the detected events is evaluated in a specific feature space, where the parallelism and velocity of the detected events are evaluated. The results of this algorithm were tested on data of recent September epsilon Perseid (SPE) meteor showers recorded by the MAIA (Meteor Automatic Imager and Analyzer), and also on data of one simulated cluster.

  • Název v anglickém jazyce

    Finding meteor cluster candidates in series of astronomical images

  • Popis výsledku anglicky

    Each night, astronomical systems record a significant amount of image data and indicate a variety of meteor events. In recent years, specific phenomena of parallel meteor occurrences or even meteor clusters have also been reported. These phenomena are typically identified through a process of post-evaluation of meteor trajectories. However, astronomical systems usually do not focus so much on such phenomena, and thus automatic real-time identification or post-identification is rather rare. This presents an opportunity for the development of novel approaches to signal and identify candidate meteors that are related to each other (they have disintegrated from the same parental object). In light of this, we have proposed an approach to indicate these events in astronomical image sequences. The proposed method employs multiple meteor detection based on Probabilistic Hough Transform with further utilization of its output parameters. The detected events are evaluated according to their temporal sequence and proximity. Finally, the similarity of the detected events is evaluated in a specific feature space, where the parallelism and velocity of the detected events are evaluated. The results of this algorithm were tested on data of recent September epsilon Perseid (SPE) meteor showers recorded by the MAIA (Meteor Automatic Imager and Analyzer), and also on data of one simulated cluster.

Klasifikace

  • Druh

    J<sub>ost</sub> - Ostatní články v recenzovaných periodicích

  • CEP obor

  • OECD FORD obor

    10308 - Astronomy (including astrophysics,space science)

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/GA20-10907S" target="_blank" >GA20-10907S: Klastry meteorů: svědectví o rozpadech meteoroidů v meziplanetárním prostoru</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    WGN, Journal of the International Meteor Organization

  • ISSN

    1016-3115

  • e-ISSN

  • Svazek periodika

    53

  • Číslo periodika v rámci svazku

    4

  • Stát vydavatele periodika

    BE - Belgické království

  • Počet stran výsledku

    6

  • Strana od-do

    167-172

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus