Multimodal Issues and Key Technologies in Ocean Observation Data: A Review
文献类型：期刊论文
| 作者 | Nie, Jie2; Zuo, Zijie2; Liang, Xinyue2; Ye, Min2; Song, Ning2; Li, Xiaofeng1 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2025 |
| 卷号 | 18页码:19333-19362 |
| 关键词 | Oceans Spatial resolution Artificial intelligence Monitoring Remote sensing Deep learning Accuracy Soft sensors Sea surface Market research multimodal ocean data physical constraint survey transfer learning |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2025.3591424 |
| 通讯作者 | Li, Xiaofeng(xiaofeng.li@ieee.org) |
| 英文摘要 | Ocean observation data exhibit multimodal characteristics due to its diverse sources, heterogeneous data structures, and varied parameters. Integrating and correlating these data sources is a critical technology for enhancing comprehensive oceanic understanding. Unlike traditional multimodal problems in unstructured data, ocean observation data are structured scientific data, posing unique challenges. This article is the first to identify and define three core multimodal issues in ocean observation data: multistructure, multielement, and multisource. We systematically review recent studies leveraging multimodal ocean observation data, summarizing and discussing these works from the perspectives of application scenarios and technical methodologies. Particular focus is given to cutting-edge technologies, such as deep learning, knowledge graphs, federated learning, and physics-informed neural networks. Finally, we highlight the limitations of existing methods in addressing multimodal issues in ocean observation data and outline promising directions for future research. This comprehensive and systematic review aims to serve as a valuable reference for researchers in ocean science and data processing domains. |
| WOS关键词 | SEA-SURFACE TEMPERATURE ; WAVE HEIGHT ESTIMATION ; CHLOROPHYLL-A ; DATA FUSION ; DATA ASSIMILATION ; MULTISOURCE ; SAR ; ICE ; OCEANOGRAPHY ; SIMULATION |
| 资助项目 | National Natural Science Foundation of China[62422608] ; National Natural Science Foundation of China[U23A20320] ; National Natural Science Foundation of China[62302470] ; China Postdoctoral Science Foundation[2024M763101] ; China Postdoctoral Science Foundation[GZB20240694] |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001550792000015 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/203125]  |
| 专题 | 海洋研究所_海洋环流与波动重点实验室 |
| 通讯作者 | Li, Xiaofeng |
| 作者单位 | 1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266003, Peoples R China 2.Ocean Univ China, Fac Informat Sci & Engn, Qingdao 266100, Peoples R China |
| 推荐引用方式 GB/T 7714 | Nie, Jie,Zuo, Zijie,Liang, Xinyue,et al. Multimodal Issues and Key Technologies in Ocean Observation Data: A Review[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2025,18:19333-19362. |
| APA | Nie, Jie,Zuo, Zijie,Liang, Xinyue,Ye, Min,Song, Ning,&Li, Xiaofeng.(2025).Multimodal Issues and Key Technologies in Ocean Observation Data: A Review.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,18,19333-19362. |
| MLA | Nie, Jie,et al."Multimodal Issues and Key Technologies in Ocean Observation Data: A Review".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 18(2025):19333-19362. |
入库方式： OAI收割
来源：海洋研究所
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