All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Finding meteor cluster candidates in series of astronomical images

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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

Alternative languages

  • Result language

    angličtina

  • Original language name

    Finding meteor cluster candidates in series of astronomical images

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    10308 - Astronomy (including astrophysics,space science)

Result continuities

  • Project

    <a href="/en/project/GA20-10907S" target="_blank" >GA20-10907S: Meteor clusters: An evidence for fragmentation of meteoroids in interplanetary space</a><br>

  • Continuities

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

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    WGN, Journal of the International Meteor Organization

  • ISSN

    1016-3115

  • e-ISSN

  • Volume of the periodical

    53

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    BE - BELGIUM

  • Number of pages

    6

  • Pages from-to

    167-172

  • UT code for WoS article

  • EID of the result in the Scopus database