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| Paper: |
A Pattern Recognition System for the Automated Tracking and Classification of Meteors Using Digital Image Data |
| Volume: |
442, Astronomical Data Analysis Software and Systems XX (ADASSXX) |
| Page: |
459 |
| Authors: |
McGarvey, K. Vilalta, R.; Samara. M.; Mitchell, R. |
| Abstract: |
In this project, we aim to develop an efficient and reliable method to
search through vast amounts of digital image data of the sky (at video
rates of 30 fps) to identify meteors. We describe a pattern
recognition system that accomplishes this goal in two steps. The first
step keeps track of luminous objects that follow a straight path
through a set of frames; multiple features become then available for
each moving luminous object. During the second step, the system
automatically labels the moving object as either a meteor or not
(e.g., or satellite). The benefit of such a pattern recognition tool
is twofold: 1) it obviates the process of searching through image data
by eye, which is infeasible for producing a database with reliable
statistics; 2) derived information can provide a better understanding
of the mass distribution of meteors, which is crucial for determining
the total mass flux incident into the upper atmosphere. |
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