Towards a Unified Identifier of Satellite Remote Sensing Images
文献类型：期刊论文
| 作者 | Wang, Jiahe2,3; Wu, Jin2,3; Wu, Mingbo2,3; Lu, Yuxiang1; Lu, Shangwen1; Zhu, Dayong1; Zhou, Chenghu2,3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2025-02-01 |
| 卷号 | 17期号:3页码:465 |
| 关键词 | remote sensing imagery unified identifier geographic information system object-oriented |
| DOI | 10.3390/rs17030465 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The rapid growth of Earth observation technologies has resulted in over 2000 operational remote sensing satellites, collectively generating an exabyte-scale volume of data. However, despite the availability of large data-sharing platforms, global remote sensing imagery still faces challenges in seamless access, precise querying, and efficient retrieval. To address these limitations, this study introduces the concept of the Digital Imagery Object (DIO) and develops a unified identification framework for satellite remote sensing imagery. The proposed approach establishes a structured identification and parsing system based on core metadata, including data acquisition platforms and imaging timestamps. This enhances the consistency and standardization of multisource imagery encoding, enabling unified identification and interpretation under a common set of rules. The system's feasibility and effectiveness were demonstrated through the integration and management of diverse global datasets, highlighting its ability to streamline multisource data workflows. By supporting standardized management and one-click parsing, this framework facilitates efficient imagery sharing and lays the foundation for its use as a tradable digital resource on the internet. The study offers a practical solution for addressing current challenges in remote sensing imagery management, paving the way for improved accessibility and interoperability of Earth observation data. |
| URL标识 | 查看原文 |
| WOS关键词 | BIG DATA ; SYSTEM |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001419577900001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/212350]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Wu, Jin |
| 作者单位 | 1.Digitwinol Int Kunshan Informat Technol Co Ltd, Suzhou 215300, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wang, Jiahe,Wu, Jin,Wu, Mingbo,et al. Towards a Unified Identifier of Satellite Remote Sensing Images[J]. REMOTE SENSING,2025,17(3):465. |
| APA | Wang, Jiahe.,Wu, Jin.,Wu, Mingbo.,Lu, Yuxiang.,Lu, Shangwen.,...&Zhou, Chenghu.(2025).Towards a Unified Identifier of Satellite Remote Sensing Images.REMOTE SENSING,17(3),465. |
| MLA | Wang, Jiahe,et al."Towards a Unified Identifier of Satellite Remote Sensing Images".REMOTE SENSING 17.3(2025):465. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。