@InProceedings{FreryYanVieSanRen:1997:UsSySy,
author = "Frery, Alejandro Cesar Orgambide and Yanasse, Corina da Costa de
Freitas and Vieira, Pedro Ronauld and Sant'Anna, Sidnei Joao
Siqueira and Renno, Camilo R",
title = "A user-friendly system for synthetic aperture radar image
classificacao based on grayscale distributional properties and
context",
booktitle = "Proceedings...",
year = "1997",
pages = "211--218",
organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e
Processamento de Imagens, 10.",
publisher = "IEEE Comp Soc",
note = "Brazilian Symposium on Computer Graphics and Image Processing,
14-17 Oct., 1997, Campos do Jordao.",
keywords = "Graphical user interfaces, Image quality, Markov processes,
Pattern recognition, Speckle, Synthetic aperture radar, Grayscale
distributional properties, Radar imaging.",
abstract = "The purpose of this paper is present a system for the analysis and
clasification of Synthetic Aperture Radar (SAR)images. This
system, unlike most of its competitors, allows a careful modeling
of the statistical properties of the data beyond the usual
Gaussian hypothesis. The modeling tools include basic descriptive
measures and the choice of suited distributions, through
goodness-of-fit tests, to model the data. The classification tools
ofter the choice between pointwise and contextual
(Markovian)techniques, and the quatitative assessment of the
quality of the results. The system is gols-driven, and its
interfaces are soley based on pull-down menus; the user is
prompted with the corret sequence of operation, whenever an
invalid option is invoked. An example of the use of this system
for the classification of a SAR image is presented.",
conference-location = "Campos do Jordao",
conference-year = "13-16 Oct.",
label = "8461",
language = "en",
targetfile = "INPE 7141.pdf",
urlaccessdate = "21 maio 2024"
}