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Automatic Analysis of Radio Meteor Events Using Neural Networks (2015)

Springer

In: Earth, Moon, and Planets

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Publication Date: 2015-07-18

Description: Meteor Scanning Algorithms (MESCAL) is a software application for automatic meteor detection from radio recordings, which uses self-organizing maps and feedforward multi-layered perceptrons. This paper aims to present the theoretical concepts behind this application and the main features of MESCAL, showcasing how radio recordings are handled, prepared for analysis, and used to train the aforementioned neural networks. The neural networks trained using MESCAL allow for valuable detection results, such as high correct detection rates and low false-positive rates, and at the same time offer new possibilities for improving the results.

Print ISSN: 0167-9295

Electronic ISSN: 1573-0794

Topics: Geosciences , Physics

Published by Springer

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