Comparison of annealing and iterated filters for speckle reduction in SAR

Ian McConnell; Christopher John Oliver

doi:10.1117/12.262722

17 December 1996 Comparison of annealing and iterated filters for speckle reduction in SAR

Ian McConnell, Christopher John Oliver

Proceedings Volume 2958, Microwave Sensing and Synthetic Aperture Radar; (1996) https://doi.org/10.1117/12.262722
Event: Satellite Remote Sensing III, 1996, Taormina, Italy

Abstract

Many of the despeckling filters currently available operate by smoothing over a fixed window, whose size must be decided by two competing factors. Over homogeneous regions large window sizes are needed to improve speckle reduction by averaging. However, a large window size reduces the fundamental resolution of the algorithm, as with multi- looking. For instance, when one of these filters attempt to reconstruct a small bright object it produces artifacts around the object over a distance equal to the filter dimension. This means that the background is badly defined in the neighborhood of bright targets and edges, which is just where one would like it accurate. In this paper, these problems are overcome by introducing a correlated neighborhood model into the MAP filter. This filter operates on a small window and so is able to preserve resolution. The correlation model allows us to describe both the scene heterogeneity and the effects of partial smoothing, which in turn, allows us to iterate the filter, hence, increasing the amount of smoothing that can be achieved with a small window. This gives a filter that is able to adapt to the underlying fluctuations of the scene, preserve detail of still achieve large amounts of smoothing. The final iterated filter is then compared with the current DRA simulated annealing algorithm.

Citation Download Citation

Ian McConnell and Christopher John Oliver "Comparison of annealing and iterated filters for speckle reduction in SAR", Proc. SPIE 2958, Microwave Sensing and Synthetic Aperture Radar, (17 December 1996); https://doi.org/10.1117/12.262722

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