@InProceedings{BuemiMejaJacoGamb:2007:ImSAIm,
author = "Buemi, Mar{\'{\i}}a Elena and Mejail, Marta and Jacobo, Julio
and Gambini, Juliana",
affiliation = "{Universidad de Buenos Aires-Facultad de Ciencias Exactas y
Naturales-Departamento de Computacion} and {Universidad de Buenos
Aires-Facultad de Ciencias Exactas y Naturales-Departamento de
Computacion} and {Universidad de Buenos Aires-Facultad de Ciencias
Exactas y Naturales-Departamento de Computacion} and {Universidad
de Buenos Aires-Facultad de Ciencias Exactas y
Naturales-Departamento de Computacion}",
title = "Improvement in SAR Image Classification using Adaptive Stack
Filters",
booktitle = "Proceedings...",
year = "2007",
editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes
Vieira",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Stack Filter - SAR - Speckle -Classification.",
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 is evaluated for
the classification of Synthetic Aperture Radar (SAR) images, which
are affected by speckle noise. With this aim it was carried out
experiment in which simulated and real images are generated and
then filtered with a stack filter trained with one of them. The
results of their Maximum Likelihood classification are evaluated
and then are compared with the results of classifying the images
without previous filtering.",
conference-location = "Belo Horizonte, MG, Brazil",
conference-year = "7-10 Oct. 2007",
doi = "10.1109/SIBGRAPI.2007.40",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2007.40",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/R3e7K",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/R3e7K",
targetfile = "sib_stack_filter.pdf",
urlaccessdate = "2024, Apr. 29"
}