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Research on Simulation Technology for Remote Sensing Image Quality

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Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

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Abstract

Full-link image quality simulation analysis is an important part of the satellite development process. It can not only predict the satellite image quality before launch, but also help to adjust the satellite related design according to the simulation results. This paper expounds the construction idea, system scheme and composition of each subsystem of the full-link image quality simulation system for optical remote sensing satellites and carries out serial full-link closed-loop simulation test on the preliminary simulation system to verify the reasonableness and feasibility of the system scheme. This system is constructed with functional modular design, while the model algorithm has good openness, good adaptability to different tasks and high application value.

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References

  1. Hulst HC, van de Hulst HC (1981) Light scattering by small particles. Courier Corporation

    Google Scholar 

  2. Wiscombe WJ (1979) Mie scattering calculations: advances in technique and fast, vector-speed computer codes, vol 10. National Technical Information Service, US Department of Commerce

    Google Scholar 

  3. Wiscombe WJ (1980) Improved Mie scattering algorithms. Appl Opt 19(9):1505–1509

    Article  Google Scholar 

  4. Yan HP, Shen TS et al (1998) The application of LOWTRAN7 in the dynamic IR imagery simulation system and integration of the system. Infrared Laser Eng 4:14–17 (in Chinese)

    Google Scholar 

  5. Mao KB, Tan ZH (2004) The transmission model of atmospheric radiation and the computation of transmittance of MODTRAN. Geomat Spat Inf Technol 27(40):1–3

    Google Scholar 

  6. Jiang WQ, Zhao YF, Yuan SP (2009) Modeling and open GL simulation of sea surface infrared images. Electron Opt Control 16(11):19–21

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Astronautics, Harbin Institute of Technology, Harbin, China

    Hezhi Sun

  2. China Academy of Space Technology, Beijing, China

    Yugao Li, Xiao Mei, Yuting Gao & Dong Yang

Authors
  1. Hezhi Sun
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  2. Yugao Li
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  3. Xiao Mei
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  4. Yuting Gao
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  5. Dong Yang
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Corresponding authors

Correspondence to Hezhi Sun or Dong Yang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na

  5. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

    Min Jia

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Sun, H., Li, Y., Mei, X., Gao, Y., Yang, D. (2020). Research on Simulation Technology for Remote Sensing Image Quality. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_70

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_70

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

  • eBook Packages: EngineeringEngineering (R0)

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