Mask-Pix2Pix Network for Overexposure Region Recovery of Solar Image
文献类型：期刊论文
| 作者 | Zhao, Dong1,2; Xu, Long1 ; Chen, Linjie1; Yan, Yihua1; Duan, Ling-Yu3
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| 刊名 | ADVANCES IN ASTRONOMY
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| 出版日期 | 2019-09-05 |
| 卷号 | 2019页码:10 |
| ISSN号 | 1687-7969 |
| DOI | 10.1155/2019/5343254 |
| 英文摘要 | Overexposure may happen for imaging of solar observation as extremely violet solar bursts occur, which means that signal intensity goes beyond the dynamic range of imaging system of a telescope, resulting in loss of signal. For example, during solar flare, Atmospheric Imaging Assembly (AIA) of Solar Dynamics Observatory (SDO) often records overexposed images/videos, resulting loss of fine structures of solar flare. This paper makes effort to retrieve/recover missing information of overexposure by exploiting deep learning for its powerful nonlinear representation which makes it widely used in image reconstruction/restoration. First, a new model, namely, mask-Pix2Pix network, is proposed for overexposure recovery. It is built on a well-known Pix2Pix network of conditional generative adversarial network (cGAN). In addition, a hybrid loss function, including an adversarial loss, a masked L1 loss and a edge mass loss/smoothness, are integrated together for addressing challenges of overexposure relative to conventional image restoration. Moreover, a new database of overexposure is established for training the proposed model. Extensive experimental results demonstrate that the proposed mask-Pix2Pix network can well recover missing information of overexposure and outperforms the state of the arts originally designed for image reconstruction tasks. |
| WOS关键词 | MISSION |
| WOS研究方向 | Astronomy & Astrophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:000486402000001 |
| 出版者 | HINDAWI LTD |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/27650]  |
| 专题 | 中国科学院国家天文台 |
| 通讯作者 | Xu, Long |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Solar Act, Natl Astron Observ, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Peking Univ, Natl Engn Lab Video Technol, Beijing 100871, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Dong,Xu, Long,Chen, Linjie,et al. Mask-Pix2Pix Network for Overexposure Region Recovery of Solar Image[J]. ADVANCES IN ASTRONOMY,2019,2019:10. |
| APA | Zhao, Dong,Xu, Long,Chen, Linjie,Yan, Yihua,&Duan, Ling-Yu.(2019).Mask-Pix2Pix Network for Overexposure Region Recovery of Solar Image.ADVANCES IN ASTRONOMY,2019,10. |
| MLA | Zhao, Dong,et al."Mask-Pix2Pix Network for Overexposure Region Recovery of Solar Image".ADVANCES IN ASTRONOMY 2019(2019):10. |
入库方式： OAI收割
来源：国家天文台
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