SolarZip: An efficient and adaptive compression framework for Solar EUV imaging data: Application to Solar Orbiter/EUI data
文献类型：期刊论文
| 作者 | Liu, Zedong1,7,8; Tan, Song5,6; Warmuth, Alexander6; Schuller, Frédéric6; Hong, Yun3; Huang, Wenjing1,8; Gu, Yida1,8; Zhu BJ(朱伯靖)1,2,4; Tan, Guangming1,8; Tao, Dingwen1,8 |
| 刊名 | ASTRONOMY & ASTROPHYSICS
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| 出版日期 | 2025-10 |
| 卷号 | 702 |
| 关键词 | methods: data analysis space vehicles: instruments techniques: image processing Sun: corona |
| ISSN号 | 0004-6361 |
| DOI | 10.1051/0004-6361/202555193 |
| 产权排序 | 第7完成单位 |
| 文献子类 | Article |
| 英文摘要 | Context. With the advancement of solar physics research, next-generation solar space missions and ground-based telescopes face significant challenges in efficiently transmitting and/or storing large-scale observational data. Aims. We have developed an efficient compression and evaluation framework for solar EUV data, specifically optimized for Solar Orbiter Extreme Ultraviolet Imager (EUI) data. It significantly reduces the data volume, while preserving scientific usability. Methods. We evaluated four error-bounded lossy compressors across two Solar Orbiter/EUI datasets spanning 50 months of observations. However, existing methods cannot perfectly handle the EUV data. Building on this analysis, we developed SolarZip, an adaptive compression framework featuring: (1) a hybrid strategy controller that dynamically selects the optimal compression strategy; (2) enhanced spline interpolation predictors with grid-wise anchor points and level-wise error bound auto-tuning; and (3) a comprehensive two-stage evaluation methodology integrating standard distortion metrics with domain-specific post hoc scientific analyses. Results. Our SolarZip framework achieved a data compression ratio of up to 800x for Full Sun Imager (FSI) data and 500x for High Resolution Imager (HRIEUV) data. It significantly outperformed both traditional and advanced algorithms, achieving 3-50x higher compression ratios than traditional algorithms, surpassing the second-best algorithm by up to 30%. Simulation experiments verified that SolarZip can reduce data transmission time by up to 270x while ensuring the preservation of scientific usability. Conclusions. The SolarZip framework significantly enhances solar observational data compression efficiency, while preserving scientific usability by dynamically selecting the optimal compression methods based on observational scenarios and user requirements. This approach offers a promising data management solution for deep space missions, such as Solar Orbiter. |
| 学科主题 | 天文学 ; 太阳与太阳系 |
| URL标识 | 查看原文 |
| 出版地 | 17, AVE DU HOGGAR, PA COURTABOEUF, BP 112, F-91944 LES ULIS CEDEX A, FRANCE |
| WOS关键词 | LOSSY DATA-COMPRESSION ; JPEG2000 ; QUALITY ; IMPACT |
| 资助项目 | Belgian Federal Science Policy Office (BELPSO); Centre National d'Etudes Spatiales (CNES); UK Space Agency (UKSA); Bundesministerium fur Wirtschaft und Energie (BMWi) through the Deutsches Zentrum fuer Luft- und Raumfahrt (DLR); Swiss Space Office (SSO)[62032023]; Swiss Space Office (SSO)[T2125013]; National Natural Science Foundation of China[E461050]; Innovation Funding of ICT, CAS[042274216]; NSFC Fund[50 OT 2304]; German Space Agency (DLR) |
| WOS研究方向 | Astronomy & Astrophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:001596517000008 |
| 出版者 | EDP SCIENCES S A |
| 资助机构 | Belgian Federal Science Policy Office (BELPSO) ; Centre National d'Etudes Spatiales (CNES) ; UK Space Agency (UKSA) ; Bundesministerium fur Wirtschaft und Energie (BMWi) through the Deutsches Zentrum fuer Luft- und Raumfahrt (DLR) ; Swiss Space Office (SSO)[62032023, T2125013] ; National Natural Science Foundation of China[E461050] ; Innovation Funding of ICT, CAS[042274216] ; NSFC Fund[50 OT 2304] ; German Space Agency (DLR) |
| 版本 | 出版稿 |
| 源URL | [http://ir.ynao.ac.cn/handle/114a53/28654]  |
| 专题 | 云南天文台_太阳物理研究组 |
| 通讯作者 | Tao, Dingwen |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China; 2.Centre for Astronomical Mega-Science, Chinese Academy of Sciences, Beijing 100012, China 3.Minzu University of China, Beijing 100081, China; 4.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, China; 5.Institut für Physik und Astronomie, Universität Potsdam, Karl-Liebknecht-Straße 24/25, 14476 Potsdam, Germany; 6.Leibniz-Institut für Astrophysik Potsdam (AIP), An der Sternwarte 16, 14482 Potsdam, Germany; 7.University of Electronic Science and Technology of China, Chengdu 610054, China; 8.Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; |
| 推荐引用方式 GB/T 7714 | Liu, Zedong,Tan, Song,Warmuth, Alexander,et al. SolarZip: An efficient and adaptive compression framework for Solar EUV imaging data: Application to Solar Orbiter/EUI data[J]. ASTRONOMY & ASTROPHYSICS,2025,702. |
| APA | Liu, Zedong.,Tan, Song.,Warmuth, Alexander.,Schuller, Frédéric.,Hong, Yun.,...&Tao, Dingwen.(2025).SolarZip: An efficient and adaptive compression framework for Solar EUV imaging data: Application to Solar Orbiter/EUI data.ASTRONOMY & ASTROPHYSICS,702. |
| MLA | Liu, Zedong,et al."SolarZip: An efficient and adaptive compression framework for Solar EUV imaging data: Application to Solar Orbiter/EUI data".ASTRONOMY & ASTROPHYSICS 702(2025). |
入库方式： OAI收割
来源：云南天文台
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