@InProceedings{TorresBecFreSanSan:2015:OWFiSA,
author = "Torres, Leonardo and Becceneri, Jos{\'e} Carlos and Freitas,
Corina da Costa and Sant'Anna, Sidnei Jo{\~a}o Siqueira and
Sandri, Sandra Aparecida",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "OWA filters for SAR imagery",
booktitle = "Proceedings...",
year = "2015",
editor = "Vellasco M. M. B. R., Tupac Valdivia Y. J., Lopes H. S.",
organization = "Latin American, 2. (LA-CCI) and (Brazilian) Congress on
Computational Intelligence, 12 (CBIC)",
publisher = "IEEE",
address = "New York",
keywords = "Artificial intelligence, Bandpass filters, Genetic algorithms,
Image processing, OWA operators, Real-world, SAR imagery, Weight
vector, Wishart distribution, Radar imaging.",
abstract = "We investigate a subclass of ordered statistical filters for image
processing, here called OWA filters. They are based on the OWA
family of mean operators from the fuzzy sets literature. In
particular, we are interested in the use of these filters to
reduce speckle in SAR imagery. Moreover, we study how to use
genetic algorithms in order to learn the weight vectors associated
with the OWA operators. We also present an application on SAR
imagery, simulated using Wishart distribution parameters estimated
from a real-world application. We compare our results to those
issued by two model-dependent SAR filters, as well as to some
basic order statistical filters.",
conference-location = "Curitiba, PR",
conference-year = "13-16 out.",
doi = "10.1109/LA-CCI.2015.7435973",
url = "http://dx.doi.org/10.1109/LA-CCI.2015.7435973",
isbn = "9781467384186",
label = "lattes: 1840336983035010 2 TorresBecFreSanSan:2015:OWFiSA",
language = "en",
targetfile = "IEEE Xplore Full-Text PDF_corina.html",
urlaccessdate = "27 abr. 2024"
}