Skip to main content

Services for Parallel Remote-Sensing Image Processing Based on Computational Grid

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3252))

Abstract

The great advancement in remote-sensing technologies has brought new challenge to remote-sensing image processing: remote-sensing image processing demands processing capabilities of larger scale and cooperation in broader scope. Computational Grid provides rich computational resources and powerful storage capacity, which enables the sharing and cooperation within large scope and offers an ideal platform for remote-sensing image processing. In this paper, the parallel remote-sensing image processing software: PRIPS is encapsulated into a kind of Grid service in computational Grid. In this way, the service system for parallel remote-sensing image processing: PRIPSS-G is implemented. We first introduce the architecture of the parallel remote-sensing image processing software: PRIPS, then present its service implementation in Grid, and finally give some operational interfaces of this system and some related experimental results.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Zhu, S.L., Zhang, Z.K.: Gain and Analysis of Remote Sensing Image. Science Press, Beijing (2000)

    Google Scholar 

  2. Zhou, H.F.: Study and Implementation of Parallel algorithms for Remote Sensing Image Processing. School of Computer Science NUDT, Chasha, China, pp. 4–6, 46–54 (2003)

    Google Scholar 

  3. Foster, I., Kesselman, C., Tuecke, S.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. Int’l J. High-Performance Computing Applications 15(3), 200–222 (2001)

    Article  Google Scholar 

  4. Jiang, Y.H., Yang, X.J., Dai, H.D., Yi, H.Z.: A Distributed Parallel Resampling Algorithm for Large Images. In: Zhou, X., Xu, M., Jähnichen, S., Cao, J. (eds.) APPT 2003. LNCS, vol. 2834, pp. 608–618. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  5. Zhou, H.F., Jiang, Y.H., Yang, X.J.: An enhanced parallel watershed algorithm based on components graphs for image segmentation. Journal of Computer Research and Development, Beijing, China (2002)

    Google Scholar 

  6. Jiang, Y.H.: High-Accuracy and Parallel Algorithms for supervised Reomte-sensing Image Classification, School of Computer Science NUDT, Chasha, China, pp. 77–85 (2004)

    Google Scholar 

  7. Karonis, N.T., Toonen, B., Foster, I.: MPICH_G2: A Grid-Enabled Implementation of the Massage Passing Interface. Journal of Parallel and Distributed Computing (JPDC) 63(5), 551–563 (2003)

    Article  MATH  Google Scholar 

  8. Globus project, http://www.globus.org/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yang, XJ., Chang, Zm., Zhou, H., Qu, X., Li, CJ. (2004). Services for Parallel Remote-Sensing Image Processing Based on Computational Grid. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds) Grid and Cooperative Computing - GCC 2004 Workshops. GCC 2004. Lecture Notes in Computer Science, vol 3252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30207-0_84

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30207-0_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23578-1

  • Online ISBN: 978-3-540-30207-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics