用深度神经网络自动探测e-木卫四太阳射电暴

2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC) Pub Date : 2022-05-29 DOI:10.23919/AT-AP-RASC54737.2022.9814298

Fernández Ruiz Mario, Bussons Gordo Javier, P. Manuel, Monstein Christian

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引用次数: 1

摘要

这项工作的目的是建立一个基于深度神经网络的完整系统，用于在地面太阳天文台提供的射电频谱图中自动识别突发。本文对自动系统进行了逐步的描述，并给出了一个样本天文台的初步结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automatic detection of e-Callisto solar radio bursts by Deep Neural Networks

The aim of this work is to build a complete system based on deep neural networks for automated burst recognition in radio spectrograms delivered by ground-based solar observatories.In this summary paper, the automatic system is described stage by stage and preliminary results for a sample observatory are presented.

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2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC)

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