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

{"title":"用深度神经网络自动探测e-木卫四太阳射电暴","authors":"Fernández Ruiz Mario, Bussons Gordo Javier, P. Manuel, Monstein Christian","doi":"10.23919/AT-AP-RASC54737.2022.9814298","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":356067,"journal":{"name":"2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC)","volume":"48 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Automatic detection of e-Callisto solar radio bursts by Deep Neural Networks\",\"authors\":\"Fernández Ruiz Mario, Bussons Gordo Javier, P. Manuel, Monstein Christian\",\"doi\":\"10.23919/AT-AP-RASC54737.2022.9814298\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":356067,\"journal\":{\"name\":\"2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC)\",\"volume\":\"48 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/AT-AP-RASC54737.2022.9814298\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/AT-AP-RASC54737.2022.9814298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

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。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

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

自引率

0.00%

发文量