Tiangong-2 Ground Data Processing and Service System Towards Multiple Categories of Payloads Product Processing

  • Shengyang Li
  • Wanfeng ZhangEmail author
  • Zhiwen Liu
  • Hong Tan
  • Haijun Yu
  • Bo Wang
  • Lingli Mu
  • Xuan Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 541)


Tiangong-2 ground data processing and service system is a specialized software which has been used for processing the products of three earth observation payloads and other several space science experiments. In the course of geometric rectification on the Wide-band Imaging Spectrometer data, a high-precision sensor model of the wide-width virtual camera is established to improve the geometric positioning precision. Towards the Interferometric imaging radar altimeter (InIRA) product processing, a series of steps should be performed to generate backscatter coefficient images and surface topography data, such as imaging processing, interferometric processing, radiometric correction and geometric location. After the production of these categories of products, several indicators included signal to noise ratio, clarity, contrast, comentropy and the radiometric accuracy were adopted to assess and control the products quality. As a part of complete process, the space application data promoting service platform for China Manned Space Engineering provide all the products of earth observation payloads and other space science experiments.


Tiangong-2 Ground data processing Data storage Data sharing service 



Thanks to China Manned Space Engineering for providing space science and application data products of Tiangong-2.


  1. 1.
    Buyya, R.: High Performance Cluster Computing: Architectures and Systems, vol. 1. Prentice Hall, USA (1999)Google Scholar
  2. 2.
    Ma, G., Lu, P.: PBSWeb: a web-based interface to the portable batch system. In: Proceedings of the 12th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS), Las Vegas, Nevada, USA (2000)Google Scholar
  3. 3.
    Bode, B., Halstead, D., Kendall, R., Lei, Z., Jackson, D.: The portable batch scheduler and the maui scheduler on Linux clusters. In: Proceedings of the 4th Linux Showcase and Conference, Atlanta, USA (2000)Google Scholar
  4. 4.
    Ryu, K.D., Pachapurkar, M., Fong, L.L.: Adaptive memory paging for efficient gang scheduling of parallel applications. In: Proceedings of the 18th IEEE International Parallel and Distributed Processing Symposium (2004)Google Scholar
  5. 5.
    Thain, D., Tannenbaum, T., Livny, M.: Distributed computing in practice: the Condor experience. Concur. Comput. Pract. Exp. 17(2–4), 323–356 (2005)CrossRefGoogle Scholar
  6. 6.
    Zhou, S., Zheng, X., Wang, J., Delisle, P.: Utopia: a load sharing facility for large, heterogeneous distributed computer systems. Softw. Pract. Exp. 23(12), 1305–1336 (1993)CrossRefGoogle Scholar
  7. 7.
    Stonebraker, M., Devine, R., Kornacker, M., Litwin, W., Pfeffer, A., Sah, A.: An economic paradigm for query processing and data migration in Mariposa. In: Proceedings of 3rd International Conference on Parallel and Distributed Information Systems. IEEE CS Press, Austin, TX, USA (1994)Google Scholar
  8. 8.
    Waldspurger, C.A., Weihl, W.E.: Lottery scheduling: flexible proportional-share resource management. In: Proceedings of OSDI 94, pp. 1–12 (1994)Google Scholar
  9. 9.
    Stoica, I., Zhang, H., Ng, T.: A hierarchical fair service curve algorithm for link-sharing, real-time and priority service. In: Proceedings of ACM SIGCOMM 1997, pp. 162–173. Cannes, Frances (1997)CrossRefGoogle Scholar
  10. 10.
    Jingsong, Y., Lin, R., Gang, Z.: The first quantitative ocean remote sensing by using Chinese interferometric imaging radar altimeter onboard TG-2. Acta Oceanol. Sin. 36, 122–123 (2017)CrossRefGoogle Scholar
  11. 11.
    Bao, Q., Lin, M., Zhang, Y., Jia, Y., Lang, S.: Wind speed inversion for imaging microwave altimeter. J. Remote Sens. 21, 835–841 (2017)Google Scholar
  12. 12.
    Cheng, Y.F., Jin, S.Y., Wang, M.: An high accuracy image mosaicking approach of optical remote sensing satellite for multi-camera system. Acta Opt. Sin. 37(8), 336–345 (2017)Google Scholar
  13. 13.
    Dong, X., Zhang, Y., Zhai, W.: Design and algorithms of the Tiangong-2 interferometric imaging radar altimeter processor. In: 2017 Progress In Electromagnetics Research Symposium - Spring, PIERS 2017, May 22, 2017–May 25, 2017, St. Petersburg, Russia, pp. 3802–3803 (2017)Google Scholar
  14. 14.
    Liu, Z., Tan, H., Li, S.: Direct geometric positioning for the three dimensional imaging microware altimeter. In: 2017 2nd International Conference on Computer Engineering, Information Science and Internet Technology, Chang Sha, China (2017)Google Scholar
  15. 15.
    Liu, Z.W., Li, S.Y.: High precision limb height calculation of ultraviolet forward spectrometer of TianGong-2. Opt. Precis. Eng. 26(6), 1517–1523 (2018)MathSciNetCrossRefGoogle Scholar
  16. 16.
    Kong, W., Chong, J., Tan, H.: Performance analysis of ocean surface topography altimetry by Ku-Band Near-Nadir interferometric SAR. Remote Sens. 9, 933 (2017)CrossRefGoogle Scholar
  17. 17.
    Tan, H., Li, S.Y., Liu, Z.W.: An assessment of spaceborne near-nadir interferometric SAR performance over inland waters with real data. In: 2018 ISPRS TC III Mid-Term Symposium on Developments, Technologies and Applications in Remote Sensing, May 7, 2018–May 10, 2018, Beijing, China (2018)CrossRefGoogle Scholar
  18. 18.
    Lv, X., Cheng, C., Gong, J., Guan, L.: Review of data storage and management technologies for massive remote sensing data. Sci. China Tech. Sci. 41(12), 1561–1573 (2011)Google Scholar
  19. 19.
    Yang, J., Li, G.: The China GEO data center: bringing order to open earth-observation data. IEEE Geosci. Remote Sens. Mag. 5(2), 77–85 (2017)CrossRefGoogle Scholar
  20. 20.
    Sample, J.T., Ioup, E.: Tile-Based Geospatial Information Systems: Principles and Practices. Springer (2010)Google Scholar
  21. 21.
    Zhu, Y., Liu, R., Feng, M., et al.: Research on distributed earth system scientific data sharing platform. Comput. Eng. Appl. 45(1), 245–248 (2009)Google Scholar
  22. 22.
    Ramapriyan, H.K., Pfister, R., Weinstein, B.: An overview of the EOS data distribution systems. Remote Sens. Digit. Image Process. 11(3), 183–202 (2011)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Shengyang Li
    • 1
  • Wanfeng Zhang
    • 1
    Email author
  • Zhiwen Liu
    • 1
  • Hong Tan
    • 1
  • Haijun Yu
    • 1
  • Bo Wang
    • 1
  • Lingli Mu
    • 1
  • Xuan Li
    • 1
  1. 1.Key Laboratory of Space UtilizationTechnology and Engineering Center for Space Utilization, Chinese Academy of SciencesBeijingChina

Personalised recommendations