In this paper the problem of despeckling Synthetic Aperture Radar images is addressed. An algorithm developed in the Bayesian estimation theory framework is presented. In particular, considering single look images, the algorithm applies an homomorphic filter followed by an Iterative Wiener filter to reduce the speckle. The proposed approach is tested on simulated and real X-band datasets showing interesting noise reduction capabilities.

A Bayesian method for speckle reduction in single-look SAR images

BASELICE, FABIO;FERRAIOLI, GIAMPAOLO;PASCAZIO, Vito;SCHIRINZI, Gilda
2015-01-01

Abstract

In this paper the problem of despeckling Synthetic Aperture Radar images is addressed. An algorithm developed in the Bayesian estimation theory framework is presented. In particular, considering single look images, the algorithm applies an homomorphic filter followed by an Iterative Wiener filter to reduce the speckle. The proposed approach is tested on simulated and real X-band datasets showing interesting noise reduction capabilities.
9781479979295
9781479979295
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/52898
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