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Robust inference techniques for speckle noise reduction in 1-look amplitude SAR images / Alejandro C. Frery, Sidnei J. S. Sant' Anna, Nelson D. A. Mascarenhas, Oscar Humberto Bustos.

Por: Colaborador(es): Idioma: Inglés Series Detalles de publicación: Córdoba, Argentina : Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física, 1995.Descripción: 24 p. : il. ; 30 cmTema(s): Resumen: After briefly reviewing some classical filters for speckle removal six filters with characteristics of robustness, suitable for speckle noise reduction, are derived and implemented. These filters are the ones based on the trimmed maximum likehood, best linear unbiased and moments estimators the ones based on the median, on the inter-quartile range and on the median absolute deviation. Assuming that observations within a synthetic aperture radar image are outcomes of independent Rayleigh random variables, these filters exhibit a good performance from both the signal-to-noise ratio reduction and from the edge preserving criteria.
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Bibliografía: p. 15-17.

After briefly reviewing some classical filters for speckle removal six filters with characteristics of robustness, suitable for speckle noise reduction, are derived and implemented. These filters are the ones based on the trimmed maximum likehood, best linear unbiased and moments estimators the ones based on the median, on the inter-quartile range and on the median absolute deviation. Assuming that observations within a synthetic aperture radar image are outcomes of independent Rayleigh random variables, these filters exhibit a good performance from both the signal-to-noise ratio reduction and from the edge preserving criteria.

Texto en inglés.


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