Skip to main content

High performance SAR processing on an heterogeneous distributed environment

  • 5. Posters
  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1401))

Abstract

This paper deals with current results obtained in building a SAR (Synthetic Aperture Radar) images processing system on a distributed multiprocessor architectures platform, which peforms fast convolution algorithms for SAR compressions. The SAR processor is implemented in terms of a set of distributed modules which communicates using a common standard message-passing library (MPI) and defining a general protocol for SAR data communication. Some modules are implemented on a SIMD machine to improve performances of a few specific algorithms which are well-suited for that kind of computing architecture. The resulting system architecture is potentially very flexible and can be adapted and extended to implement different kinds of signal processors. In fact, current and future work has the objective or extending the SAR processing system with more modules and functionalities in order to create an extensible framework of high-performance distributed computing platform which is independent from the specific network topology and machine architectures.

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

References

  1. C. Elachi, T. Bicknell, R.L. Jordan, C.Wu, Spaceborn synthetic-aperture imaging radars: applications, techniques and technology, Proc. IEEE, vol. 711, 1982, pages 1174–1209

    Google Scholar 

  2. B.C. Barber Theory of digital imaging from orbital Synthetic-Aperture Radar, Int. Jour. on Remote Sensing, vol.6, 1985, pages 1009–1057

    Google Scholar 

  3. Aloisio G., Albrizio R., Marzo C., Mazzone A., Milillo G., Pasquali F., Veneziaui N.: “Elaborazione di dati telerilevati con radar ad apertura sinteticn”. Alla Frequenza, vol 1., N. 4, 1989, pp 237–246.

    Google Scholar 

  4. Aloisio G., Fox G.C., Kim J.S. and Veneziaui N.: “A concurrent implementation of the Prime Factor Algoritltnt on hypercube”, California Institute of Technology, Report C31'488, Pasadena (CA), 1987. IEEE Trans. on Signal Processing, Vol. 39, n. 1, pp. 160–170, 1991.

    Google Scholar 

  5. Veneziani N. et AI.: “Fast Digital Signal Processing Techniques for Spaceborne Synthetic Aperture Radars”, In “Quantitative Remote Sensing: An Economic Tool for the Nineties”, Vol. 4, pp. 2579–2583, IEEE #89CH2768-O, Proc. of the IGARSS'89 Int. Symposium, Vancouver (Canada), Jul. 1989.

    Google Scholar 

  6. Aloisio G., Veneziani N., Fox G.C. and Milillo G.: “Computational load evaluation for the. real-time compression of X-SAR raw data”. Space Technology, Vol. 10, n. 4, pp. 189–199, 1990.

    Google Scholar 

  7. Albrizio R., Mazzone A., Veneziani N. and Aloisio G.: “Parallel — pipeline multiprocessor architectures for SAR data processing”. Comunicazione al X Congresso Naz. GNCII, Isola D'Elba (1), 1990. ETT-European Tans. on Telecommunication, Focus on “Processing and Simulation of Synthetic Aperture Radar Data”, Vol. 2, n. 6, pp. 635–642, 1991.

    Google Scholar 

  8. Aloisio G., Bochicchio M., G.C. Fox, Albrizio R., Mazzone A. and Veneziani N.: “The Design of a Parallel/Pipeline Multiprocessor System for Fast DFT Algorithms Computation”. California Inst. of'rechuology, Report C3P-918, Pasadena (CA), 1990, and in P. Messina and A. Murli (eds.), Parallel Computing: Problems, Methods and Applications, pp. 3–18. Amsterdam (N): Elsevier (1992).

    Google Scholar 

  9. Albrizio R., Mazzone A., Veneziani N., Aloisio G. and P. Messina: “Performance of multiprocessor structures for fast digital SA R-processing”. In Q. Stout and M. Wolfe Eds, The Sixth Distributed Memory Computing Conference Proceedings, pp. 611–616, IEEE Computer Society Press, 1991.

    Google Scholar 

  10. Albrizio R., Aloisio G., Mazzone A., Veneziani N.: “Multiprocessor architectures for SAR data processing”. In Remote Sensing: Global Monitoring for Earth Management, Vol. 1, pp. 267–270, IEEE #91CH2971-0, Proc. of the IGARSS'91 Int. Symposium, Espoo (Finland), 1991.

    Google Scholar 

  11. Albrizio R., Mazzone A., Veneziani N., Aloisio G., Bochicchio M. and P. Messina: “Pipeline optimizations of the prime, factor algorithm”. Concurrency: Practice and Experiences, Vol. 7, n. 1, pp. 29–41, 1995.

    Google Scholar 

  12. Quadrics Supercomputer World, “Quadrics User's and Programmers' manuals”, 1997.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Peter Sloot Marian Bubak Bob Hertzberger

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lovergine, F.P., Veneziani, N. (1998). High performance SAR processing on an heterogeneous distributed environment. In: Sloot, P., Bubak, M., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1998. Lecture Notes in Computer Science, vol 1401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0037262

Download citation

  • DOI: https://doi.org/10.1007/BFb0037262

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64443-9

  • Online ISBN: 978-3-540-69783-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics