@InProceedings{TorresFrer:2013:SAImDe,
author = "Torres, Leonardo Jos{\'e} Ten{\'o}rio Mour{\~a}o and Frery,
Alejandro C{\'e}sar",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Federal de Alagoas (UFAL)}",
title = "SAR Image Despeckling Algorithms using Stochastic Distances and
Nonlocal Means",
booktitle = "Proceedings...",
year = "2013",
editor = "Falc{\~a}o, Alexandre and Paulovich, Fernando",
pages = "1--6",
organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI).",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "Imagens SAR, Speckle reduction, Stochastic distances, Information
theory.",
abstract = "This paper presents two approaches for filter design based on
stochastic distances for intensity speckle reduction. A window is
defined around each pixel, overlapping samples are compared and
only those which pass a goodness-of-fit test are used to compute
the filtered value. The tests stem from stochastic divergences
within the Information Theory framework. The technique is applied
to intensity Synthetic Aperture Radar (SAR) data with homogeneous
regions using the Gamma model. The first approach uses a
Nagao-Matsuyama-type procedure for setting the overlapping
samples, and the second uses the nonlocal method. The proposals
are compared with the Improved Sigma filter and with anisotropic
diffusion for speckled data (SRAD) using a protocol based on Monte
Carlo simulation. Among the criteria used to quantify the quality
of filters, we employ the equivalent number of looks, and line and
edge preservation. Moreover, we also assessed the filters by the
Universal Image Quality Index and by the Pearson correlation
between edges. Applications to real images are also discussed. The
proposed methods show good results.",
conference-location = "Arequipa, Peru",
conference-year = "5-8 Aug. 2013",
label = "lattes: 7832536123089184 1 TorresFrer:2013:SAImDe",
language = "en",
targetfile = "Torres_sar.pdf",
url = "http://www.ucsp.edu.pe/sibgrapi2013/eproceedings",
urlaccessdate = "02 maio 2024"
}