Imaging and representation learning of solar radio spectrums for classification
文献类型：期刊论文
| 作者 | Chen, Zhuo1 ; Ma, Lin2; Xu, Long1; Tan, Chengming1; Yan, Yihua1
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| 刊名 | MULTIMEDIA TOOLS AND APPLICATIONS
 |
| 出版日期 | 2016-03-01 |
| 卷号 | 75期号:5页码:2859-2875 |
| 关键词 | Deep learning Solar radio astronomy Feature learning Classification |
| 英文摘要 | In this paper, the authors make the first attempt to employ the deep learning method for the representation learning of the solar radio spectrums. The original solar radio spectrums are pre-processed, including normalization, enhancement and etc., to generate new images for the next processing. With the expertise of solar radio astronomy for identifying solar radio activity, we build a solar radio activity database, which contains solar radio spectrums as well as their labels indicating the types of solar radio bursts. The employed deep learning network is firstly pre-trained based on the available massive of unlabeled radio solar images. Afterwards, the weights of the network are further fined-tuned based on the labeled data. Experimental results have demonstrated that the employed network can effectively classify the solar radio image into the labeled categories. Moreover, the pre-training process can help improve the classification accuracy. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000372027000028 |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/5412]  |
| 专题 | 国家天文台_太阳物理研究部 |
| 作者单位 | 1.Chinese Acad Sci, Natl Astron Observ, Key Lab Solar Act, Beijing, Peoples R China 2.Huawei Noahs Ark Lab, Hong Kong, Hong Kong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Zhuo,Ma, Lin,Xu, Long,et al. Imaging and representation learning of solar radio spectrums for classification[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2016,75(5):2859-2875. |
| APA | Chen, Zhuo,Ma, Lin,Xu, Long,Tan, Chengming,&Yan, Yihua.(2016).Imaging and representation learning of solar radio spectrums for classification.MULTIMEDIA TOOLS AND APPLICATIONS,75(5),2859-2875. |
| MLA | Chen, Zhuo,et al."Imaging and representation learning of solar radio spectrums for classification".MULTIMEDIA TOOLS AND APPLICATIONS 75.5(2016):2859-2875. |
入库方式： OAI收割
来源：国家天文台
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