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Research progress on multidimensional data formats in remote sensing
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Lifu ZHANG1, 2, Sai ZHANG1, 3, Xuejian SUN1, 2, *, Shuxin ZHAO1, 3, Changping HUANG1, 2, Yu GAO1, 3, Qingxi TONG1, 2
Science & Technology Review | 2025, 43(18) : 67 - 76
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Science & Technology Review | 2025, 43(18): 67-76
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Research progress on multidimensional data formats in remote sensing
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Lifu ZHANG1, 2, Sai ZHANG1, 3, Xuejian SUN1, 2, *, Shuxin ZHAO1, 3, Changping HUANG1, 2, Yu GAO1, 3, Qingxi TONG1, 2
Affiliations
  • 1. State Key Laboratory of Remote Sensing Science, Institute of Aerospace Information Innovation, Chinese Academy of Sciences, Beijing 100101, China
  • 2. National Engineering Research Center for Remote Sensing Satellite Applications, Institute of Aerospace Information Innovation, Chinese Academy of Sciences, Beijing 100101, China
  • 3. School of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100101, China
Published: 2025-09-28 doi: 10.3981/j.issn.1000-7857.2025.02.00227
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This article provides an overview of the domestic and international development of remote sensing multidimensional data formats, especially multidimensional spatiotemporal spectral data, the latest research results, current technical difficulties, and future development directions. This paper mainly introduces the multi−dimensional data format MDD (Multi Dimensional Dataset) proposed by the Aerospace Information Innovation Institute of the Chinese Academy of Sciences for the first time in the world, as well as the theory and technical system of multi−dimensional remote sensing data synthesis and representation, which fills the original gap in data organization in China and has a positive impact on international research. With the rapid development of remote sensing technology, multidimensional spatiotemporal spectral remote sensing data continues to emerge. This article aims to provide an overview of the domestic and international development of remote sensing multidimensional data formats, expound on the latest research achievements, analyze current technical difficulties, and look forward to future development directions, providing comprehensive references for researchers in related fields.

remote sensing multidimensional data format  /  MDD  /  spatiotemporal spectral data  /  data organization  /  theoretical and technical system
Lifu ZHANG, Sai ZHANG, Xuejian SUN, Shuxin ZHAO, Changping HUANG, Yu GAO, Qingxi TONG. Research progress on multidimensional data formats in remote sensing[J]. Science & Technology Review, 2025 , 43 (18) : 67 -76 . DOI: 10.3981/j.issn.1000-7857.2025.02.00227
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Article Info
doi: 10.3981/j.issn.1000-7857.2025.02.00227
  • Receive Date：2025-02-25
  • Online Date：2025-12-18
  • Published：2025-09-28
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History
  • Received：2025-02-25
  • Revised：2025-04-08
  • Accepted：2025-09-05
Funding
Affiliations
    1. State Key Laboratory of Remote Sensing Science, Institute of Aerospace Information Innovation, Chinese Academy of Sciences, Beijing 100101, China
    2. National Engineering Research Center for Remote Sensing Satellite Applications, Institute of Aerospace Information Innovation, Chinese Academy of Sciences, Beijing 100101, China
    3. School of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100101, China
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