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Research Progress on an Intelligent Production and Distribution of the Remote Sensing Products

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2020 International Conference on Applications and Techniques in Cyber Intelligence (ATCI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1244))

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Abstract

Since the amount of remote sensing data that can be obtained every day has reached ten terabytes, the storage and sharing of massive remote sensing data and the construction of product production application architecture have become imminent research topics. The purpose of this study is to build an efficient system that can meet the needs of massive remote sensing data storage, calculation, and distribution. The article elaborates on the latest research progress of cloud service remote sensing data distribution and intelligent production from the four aspects of remote sensing cloud service development, data distribution technology, cloud service technology, and operation mechanism of remote sensing cloud computing processing model, and proposes cloud service remote sensing Key issues facing data distribution, and summarize and prospect related research, with a view to promoting the further development of research on cloud service remote sensing data distribution and intelligent production.

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Acknowledgements

The key R&D and promotion projects of Henan Province (192102210096, 182102310724).

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Authors and Affiliations

  1. Henan Province Space Information Processing Engineering Laboratory, Kaifeng, 475004, Henan, China

    Yang Liu

  2. Henan Key Laboratory of Big Data Analysis and Processing, Kaifeng, 475004, Henan, China

    Dezhen Kong, Jinhuan Zhao, Meng Tian & Yang Liu

  3. School of Computer and Information Engineering, Henan University, Kaifeng, 475004, Henan, China

    Dezhen Kong, Jinhuan Zhao, Meng Tian & Yang Liu

Authors
  1. Dezhen Kong
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  2. Jinhuan Zhao
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  3. Meng Tian
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  4. Yang Liu
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Corresponding author

Correspondence to Yang Liu .

Editor information

Editors and Affiliations

  1. Distributed System and Security Research Cluster, Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  4. University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Kong, D., Zhao, J., Tian, M., Liu, Y. (2021). Research Progress on an Intelligent Production and Distribution of the Remote Sensing Products. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_105

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