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Abstract

Synthetic aperture radar (SAR) offers the possibility of imaging the earth's surface independent of time of day or weather conditions. SAR images differ from optical images in that they contain speckle, multiplicative noise with a poor signal-to-noise ratio of about 1 to 1. Several routines for noise despeckling and segmentation were ported to distributed memory platforms within the EUROPORT-2 PULSAR project. Excellent parallel speedup was ob served for ANNEAL, the most promising despeckling rou tine. Reasonable but limited parallel performance was obtained on RWSEG, a segmentation routine, because relatively large overlap regions were involved. The nature of these operations means that there is no one correct result to which output images can be compared. However, differences between images obtained from sequential and parallel implementations were encouragingly small.

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References

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Addison, C. , Appiani, E. , Cook, R. , Corvi, M. , Harms, J. , Howard, G. , and Stephens, B. 1996. PULSAR: Parallel noise despeekling of SAR images . In Proceedings of HPCN'96 New York: Springer-Verlag, pp. 177-182.

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Parallel Sar Image Enhancement

Abstract

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