| AstroSer: Leveraging Deep Learning for Efficient Content-based Retrieval in Massive Solar-observation Images | |
| Wu, Shichao1; Liu, Yingbo1; Yang L(杨磊)2; Liu, Xiaoying1; Li, Xingxu1; Xiang YY(向永源)2; Gong, Yunyu1 | |
| 发表期刊 | PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC
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| 2023-12-01 | |
| 卷号 | 135期号:1054 |
| DOI | 10.1088/1538-3873/ad0e7e |
| 产权排序 | 第2完成单位 |
| 收录类别 | SCI |
| 摘要 | Rapid and proficient data retrieval is an essential component of modern astronomical research. In this paper, we address the challenge of retrieving astronomical image content by leveraging state-of-the-art deep learning techniques. We have designed a retrieval model, HybridVR, that integrates the capabilities of the deep learning models ResNet50 and VGG16 and have used it to extract key features of solar activity and solar environmental characteristics from observed images. This model enables efficient image matching and allows for content-based image retrieval (CBIR). Experimental results demonstrate that the model can achieve up to 98% similarity during CBIR while exhibiting adaptability and scalability. Our work has implications for astronomical research, data management, and education, and it can contribute to optimizing the utilization of astronomical image data. It also serves as a useful example of the application of deep learning technology in the field of astronomy. |
| 资助项目 | National Natural Science Foundation of Chinahttps://doi.org/10.13039/501100001809 |
| 项目资助者 | National Natural Science Foundation of Chinahttps://doi.org/10.13039/501100001809 |
| 语种 | 英语 |
| 学科领域 | 天文学 |
| 文章类型 | Article |
| 出版者 | IOP Publishing Ltd |
| 出版地 | TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND |
| ISSN | 0004-6280 |
| URL | 查看原文 |
| WOS记录号 | WOS:001122643600001 |
| WOS研究方向 | Astronomy & Astrophysics |
| WOS类目 | Astronomy & Astrophysics |
| 关键词[WOS] | FEATURE RECOGNITION ; EXTRACTION ; FLARES |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 版本 | 出版稿 |
| 条目标识符 | http://ir.ynao.ac.cn/handle/114a53/26432 |
| 专题 | 抚仙湖太阳观测和研究基地 |
| 作者单位 | 1.Yunnan University of Finance and Economics, 237 Longquan Road, Kunming, Yunnan, 650221, People's Republic of China; [email protected]; 2.Yunnan Observatorie, Chinese Academy of Science, P.O. Box 110, Kunming Yunnan, 650011, People's Republic of China |
| 推荐引用方式 GB/T 7714 | Wu, Shichao,Liu, Yingbo,Yang L,et al. AstroSer: Leveraging Deep Learning for Efficient Content-based Retrieval in Massive Solar-observation Images[J]. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC,2023,135(1054). |
| APA | Wu, Shichao.,Liu, Yingbo.,杨磊.,Liu, Xiaoying.,Li, Xingxu.,...&Gong, Yunyu.(2023).AstroSer: Leveraging Deep Learning for Efficient Content-based Retrieval in Massive Solar-observation Images.PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC,135(1054). |
| MLA | Wu, Shichao,et al."AstroSer: Leveraging Deep Learning for Efficient Content-based Retrieval in Massive Solar-observation Images".PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC 135.1054(2023). |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| AstroSer_ Leveraging（4419KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 | |
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