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Abstract:

Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into several binary images according to a set of thresholds. Each binary image is filtered by a Boolean function. The Boolean function that characterizes an adaptive stack filter is optimal and is computed from a pair of images consisting of an ideal noiseless image and its noisy version. In this work the behavior of adaptive stack filters on synthetic aperture radar (SAR) data is evaluated. With this aim, the equivalent number of looks for stack filtered data are calculated to assess the speckle noise reduction capability of this filter. Then a classification of simulated and real SAR images is carried out on data filtered with a stack filter trained with selected samples. The results of a maximum likelihood classification of these data are evaluated and compared with the results of classifying images previously filtered using the Lee and the Frost filters. © 2009 Elsevier B.V. All rights reserved.

Registro:

Documento: Artículo
Título:SAR image processing using adaptive stack filter
Autor:Buemi, M.E.; Jacobo, J.; Mejail, M.
Filiación:Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Computación, Ciudad Universitaria, Pabellon I, C1428EGA Buenos Aires, Argentina
Palabras clave:Classification; Speckle; Stack filters; Synthetic aperture radar; Equivalent number of looks; Input image; Maximum likelihood classifications; Noiseless images; Noisy versions; Nonlinear filter; SAR image processing; SAR Images; Speckle noise reduction; Stack filters; Binary images; Boolean functions; Image classification; Imaging systems; Maximum likelihood; Radar; Speckle; Synthetic apertures; Synthetic aperture radar
Año:2010
Volumen:31
Número:4
Página de inicio:307
Página de fin:314
DOI: http://dx.doi.org/10.1016/j.patrec.2009.02.008
Título revista:Pattern Recognition Letters
Título revista abreviado:Pattern Recogn. Lett.
ISSN:01678655
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v31_n4_p307_Buemi

Referencias:

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Citas:

---------- APA ----------
Buemi, M.E., Jacobo, J. & Mejail, M. (2010) . SAR image processing using adaptive stack filter. Pattern Recognition Letters, 31(4), 307-314.
http://dx.doi.org/10.1016/j.patrec.2009.02.008
---------- CHICAGO ----------
Buemi, M.E., Jacobo, J., Mejail, M. "SAR image processing using adaptive stack filter" . Pattern Recognition Letters 31, no. 4 (2010) : 307-314.
http://dx.doi.org/10.1016/j.patrec.2009.02.008
---------- MLA ----------
Buemi, M.E., Jacobo, J., Mejail, M. "SAR image processing using adaptive stack filter" . Pattern Recognition Letters, vol. 31, no. 4, 2010, pp. 307-314.
http://dx.doi.org/10.1016/j.patrec.2009.02.008
---------- VANCOUVER ----------
Buemi, M.E., Jacobo, J., Mejail, M. SAR image processing using adaptive stack filter. Pattern Recogn. Lett. 2010;31(4):307-314.
http://dx.doi.org/10.1016/j.patrec.2009.02.008