Abstract

Meteor detection and analysis is an essential topic in the field of astronomy. In this paper, a high-sensitivity and high-time-resolution imaging device for the detection of faint meteoric events is presented. The instrument is based on a fast CCD camera and an image intensifier. Two such instruments form a double-station observation network. The MAIA (Meteor Automatic Imager and Analyzer) system has been in continuous operation since 2013 and has successfully captured hundreds of meteors belonging to different meteor showers, as well as sporadic meteors. A data processing pipeline for the efficient processing and evaluation of the massive amount of video sequences is also introduced in this paper.

Highlights

  • Modern image sensors used in astronomy provide high sensitivity and high frame-rates, allowing for the detection of weak and rapidly-changing events in the atmosphere

  • It was shown that the properties of systems with image intensifiers enable the detection of meteors with masses down to fractions of a gram

  • The electro-optical subsystem of MAIA consists of two main components: a second-generation image intensifier XX1332 and a GigE camera JAI CM-040GE

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Summary

Introduction

Modern image sensors used in astronomy provide high sensitivity and high frame-rates, allowing for the detection of weak and rapidly-changing events in the atmosphere Among these phenomena are meteors, streaks of light that appear in the sky when an interplanetary dust particle ablates in the. The MAIA (Meteor Automatic Imager and Analyzer) system introduced in this paper is a technological successor of the original analog one [12] It consists of two identical stations placed in Ondřejov and Kunžak, Czech Republic (see Figure 1). The utilization of a GPU enables a substantial improvement in the performance of astronomical data processing algorithms At this point, it is worth mentioning related solutions of N-body [13], radio-telescope signal correlation [14], adaptive mesh refinement [15], and gravitational microlensing [16].

Meteor Automatic Imager and Analyzer
Electro-Optical Characteristics
Spatiotemporal Characteristics
Video Data Processing Pipeline
Object Detection and Classification
GPU Acceleration
Findings
Conclusions
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