Speckle reduction in synthetic aperture radar (SAR) images is a key point to facilitate applicative tasks. A filter aimed at speckle reduction should energetically smooth homogeneous regions, while preserving point targets, edges, and linear features. A tradeoff, however, should be arranged on textured areas. Filtering capabilities depend on local image characteristics, and generally no filter outperforms the others in every situation. In this work, a set of adaptive filters is considered with attention to those oriented towards a multiresolution approach. Images are individually processed by each filter, and the output at each pixel position is obtained by choosing one out of the channels. The selection is based on thresholding local features accounting for both space-varying statistics and geometry. Results on true SAR images show that also an empirical choice of thresholds is noncritical: the novel scheme outperforms each filter individually, at least according to visual criteria.

A multifiltering approach to adaptive speckle reduction in textured SAR images / Aiazzi, Bruno; Alparone, Luciano; Baronti, Stefano; Carlà, Roberto; Lolli, S.. - STAMPA. - 3167:(1997), pp. 13-22. (Intervento presentato al convegno Statistical and Stochastic Methods in Image Processing II tenutosi a San Diego, CA, usa nel 31 July 1997) [10.1117/12.290277].

A multifiltering approach to adaptive speckle reduction in textured SAR images

ALPARONE, LUCIANO;
1997

Abstract

Speckle reduction in synthetic aperture radar (SAR) images is a key point to facilitate applicative tasks. A filter aimed at speckle reduction should energetically smooth homogeneous regions, while preserving point targets, edges, and linear features. A tradeoff, however, should be arranged on textured areas. Filtering capabilities depend on local image characteristics, and generally no filter outperforms the others in every situation. In this work, a set of adaptive filters is considered with attention to those oriented towards a multiresolution approach. Images are individually processed by each filter, and the output at each pixel position is obtained by choosing one out of the channels. The selection is based on thresholding local features accounting for both space-varying statistics and geometry. Results on true SAR images show that also an empirical choice of thresholds is noncritical: the novel scheme outperforms each filter individually, at least according to visual criteria.
1997
Proceedings of SPIE - The International Society for Optical Engineering
Statistical and Stochastic Methods in Image Processing II
San Diego, CA, usa
31 July 1997
Aiazzi, Bruno; Alparone, Luciano; Baronti, Stefano; Carlà, Roberto; Lolli, S.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1075615
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