Detecting low signal-to-noise meteor images in the astronomical camera video stream

The analysis of space mission data, such as Long Duration Exposure Facility (LDEF), reveals that the majority of meteor particles fall within the microgram to milligram range. This range corresponds to meteor absolute magnitudes from 5-6 mag to 10-11 mag. Global Meteor Network (GMN) and Mini-MegaTORTORA (MMT) database analysis shows a noticeable decrease in the number of detected meteors fainter than threshold "limiting magnitude minus about 2 mag''. This implies that there may be a loss of faint meteors at low signal-to-noise ratios. Therefore, it is crucial to improve the methods for detecting faint meteor events. We present a technique focused on real-time data processing. The key components of the pipeline involve rapidly identifying local peaks and then projecting the chosen points from a series of frames onto a reference frame within a sub-series of several images for analysis using the Hough transform. Initial test observations indicate an increasing trend in the number of faint meteor detections.

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Published
2024-12-27
DOI
https://doi.org/10.26119/vak2024.144
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
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article

Detecting low signal-to-noise meteor images in the astronomical camera video stream

M. Yu. Khovrichev, D. A. Bikulova, Sergii Pavlov, I. S. Izmailov et al.
CCD and CMOS Imaging Sensors
article

Detecting low signal-to-noise meteor images in the astronomical camera video stream

M. Yu. Khovrichev, D. A. Bikulova, Sergii Pavlov, I. S. Izmailov, A. Tolstoy
article en

Abstract

The analysis of space mission data, such as Long Duration Exposure Facility (LDEF), reveals that the majority of meteor particles fall within the microgram to milligram range. This range corresponds to meteor absolute magnitudes from 5-6 mag to 10-11 mag. Global Meteor Network (GMN) and Mini-MegaTORTORA (MMT) database analysis shows a noticeable decrease in the number of detected meteors fainter than threshold "limiting magnitude minus about 2 mag''. This implies that there may be a loss of faint meteors at low signal-to-noise ratios. Therefore, it is crucial to improve the methods for detecting faint meteor events. We present a technique focused on real-time data processing. The key components of the pipeline involve rapidly identifying local peaks and then projecting the chosen points from a series of frames onto a reference frame within a sub-series of several images for analysis using the Hough transform. Initial test observations indicate an increasing trend in the number of faint meteor detections.

Pulkovo Observatory (RU), Institute of Applied Astronomy (RU)
Openalex Percentile: Top 78%
CCD and CMOS Imaging Sensors
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Detecting low signal-to-noise meteor images in the astronomical camera video stream — M. Yu. Khovrichev, D. A. Bikulova, et al. · (2024) | TGRS Research Map | TGRS