@InCollection{TorresBecFreSanSan:2018:WeMeBa,
author = "Torres, L. and Becceneri, Jos{\'e} Carlos and Freitas, C. C. and
Sant'Anna, Sidnei Jo{\~a}o Siqueira and Sandri, Sandra
Aparecida",
title = "Weighted means based filters for SAR imagery",
booktitle = "Interactions between computational intelligence ana mathematics",
publisher = "Springer",
year = "2018",
editor = "K{\'o}czy, L{\`a}szl{\'o} T. and Medina, Jes{\'u}s",
pages = "11--29",
keywords = "SAR imagery.",
abstract = "We address parameter learning for three families of filters for
SAR imagery, based on WM, OWA and WOWA families of aggregation
operators. The values in the weight vector associated to a WM
filter correspond to the same positions in the input, whereas
those in OWA filters consider the ordered positions of the input.
WOWA operators make use of both vectors to weight an input data
vector. Here we use Genetic Algorithms to learn the weight vectors
for OWA, WM and WOWA filters and assess their use in reducing
speckle in SAR imagery. We present an application using simulated
images derived from a real-world scene and compare our results
with those issued by a set of filters from the literature.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
isbn = "978-3-319-74681-4",
language = "en",
seriestitle = "Studies in Computational Intelligence, 758",
targetfile = "torres_weighted.pdf",
urlaccessdate = "27 abr. 2024"
}