Abstract
The Synthetic Aperture Radar (SAR) is an active sensor widely used in remote sensing to obtain high resolution ground images from the back-scattered echo signals. When a digital processing is performed, a high computational load is involved and hw/sw solutions based on both specialized and general pupose machines can be exploited to speedup the image focusing algorithm. A more economical solution based on cluster of workstations is presented. The performance results of the version 1.0 of our distributed SAR processor achieved on a homogeneous cluster of IBM RISC System 6000/360 under PVM are reported.
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References
C. Elachi, T. Bicknell, R.L. Jordan, C. Wu: “Spaceborn Synthetic-Aperture Imaging Radars: application, techniques and technology”, Proc. IEEE, Vol.70, 1982, pp. 1174–1209.
B.C. Barber: “Theory of Digital Imaging from Orbital Synthetic-Aperture Radar”, Int. Journal on Remote Sensing, Vol.6, 1985, pp.1009–1057
J.C. Curlander:“Performance of the SIR-B Digital Image processing Subsystem”, IEEE Trans.on Remote Sensing, Vol.GE-24, N.4, July 1986.
Kubo M. et al.:“Application of small image processing system employng 79506 image processing VLSI to remote sensing”, IGARSS, Zurich 1986.
M.R. Vant, P. George:“A very fast Synthetic Aperture Radara signal processor for ERS-1 and RADARSAT”, IGARSS, Zurich 1986
W. Noach, A. Popella, M. Pich:“ISAR-A new concept for high throughput and high precision digital SAR Processing”, IGARSS, Zurich 1986
H.K. Ramapriyan, E.J. Seiler:“Synthetic Aperture Radar signal processing on the MPP”, NASA Conference Publication 2478.
D. Simoni, B. Zimmerman, J. Patterson, C. Wu, I. Peterson:“SAR processing using the hypercube concurrent computers”, Fourth Conference on Hypercube Concurrent Computers and Application-HCCA4, Monterey (CA) 1989.
G. Aloisio, N. Veneziani, G.C. Fox, G. Milillo, “Computational load evaluation for the real-time compression of X-SAR raw data”, Space Technology Int. Journal, vol.10, N.4, pp. 189–199, Nov. 1990.
G. Aloisio, R. Albrizio, A. Mazzone, P. Messina, N. Veneziani, “Performance of Multiprocessor Structures for Fast Digital SAR Processing” Proc. of the Sixth Distributed Memory Computing Conference (DMCC6), Portland-Oregon, April 28 1991.
G. Aloisio, R. Albrizio, A. Mazzone, N. Veneziani, “Parallel/Pipeline Architectures for SAR Data Processing”, European Trans. on Telecommunication and Related Technologies (ETT), Special Issue on SAR Processing and Simulation, vol.2, n.6, pp.635–642,1991.
G. Aloisio, G.C. Fox, J.S. Kim, N. Veneziani, “A Concurrent Implementation of the Prime Factor Algorithm on Hypercube”, California Institute of Technology, Caltech Report C3P-468 and IEEE Transactions on Signal Processing, vol.39, N. 1, pp. 160–170, Jan. 1991.
G. Aloisio, G.C. Fox, J.S. Kim, E. Lopinto, N. Veneziani, “Two approaches for a concurrent implementation of the Prime Factor Algorithm on Hypercube”, Concurrency, Practice & Experiences Int. Journal, vol;3(5), pp.483–495, October 1991.
G. Betello, G. Richelli; S. Succi, F. Ruello: “Lattice Boltzman method on a cluster of IBM RISC sytem/6000 workstations” Concurrency, Practice and Experiences., vol.5(4), 359–366 (June 1993).
G.C.Fox et al. “Solving Problems on Concurrent Computers”, Prentice Hall 1988
J.L. Gustafson, G.R. Montry, R.E. Benner: “Development of Parallel Methods for a 1024-Processor Hypercube”, SLAM Journal on Scientific and Statistical Computing, Vol. 9, n.4, July 1988, pp.609–638.
A. Beguelin, J. Dongarra, A. Geist, R. Mancheck and V. Sunderam: “A users' guide to PVM parallel virtual machine, ORNL/TM-11187, May 1993
B.K. Schmidth, V. Sunderam:“Empirical analysis of overheads in cluster environments”, Concurrency, Practice and Experiences., vol.6(1), 1–32 (February 1994).
D.P. Bertsekas, J.N. Tsitsiklis: “Parallel and Distributed Computation, Numerical Methods”, Prentice-Hall, 1989
A.Gerasoulis, T. Yang.“On the granularity and clustering of directed acyclic task graphs”, IEEE Trans. on Parallelel and Distributed Systems, Vol.4, N.6, June 1993.
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© 1995 Springer-Verlag Berlin Heidelberg
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Aloisio, G., Bochicchio, M.A. (1995). The use of PVM with workstation clusters for distributed SAR data processing. In: Hertzberger, B., Serazzi, G. (eds) High-Performance Computing and Networking. HPCN-Europe 1995. Lecture Notes in Computer Science, vol 919. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046683
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DOI: https://doi.org/10.1007/BFb0046683
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