@InProceedings{FernandesFurtVice:2015:AnVaRe,
author = "Fernandes, Pedro Jos{\'e} Farias and Furtado, Luiz Felipe de
Almeida and Vicens, Ra{\'u}l S{\'a}nchez",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "An{\'a}lise dos valores de retroespalhamento em imagens SAR de
banda C e L para a separa{\c{c}}{\~a}o de classes de
vegeta{\c{c}}{\~a}o no Pantanal",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3604--3611",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The present work aims to analyze the backscatter variation of land
cover in an area located in Pantanal, between the months of April
and October (1994), by using SIR-C images, C and L bands, HH and
HV polarizations. First, the preparation of the database used -
which includes images TM, vegetation maps and images SIR-C - was
made. After, we proceeded with the speckle filtering test to
understand the smoothing effect of different filters (Lee,
Enhanced Lee, Frost, Enhanced Frost and Gamma) and different
configurations of size (3x3, 5x5, 7x7, 9x9 and 11x11) in land
cover classes adopted. Finally, to make quantitative analysis in
radar backscatter, a set of samples were collected for analyze
backscatter variation in SIR-C imagery. Boxplot graphics were
generated to facilitate the analysis of results. For the specific
case of imagery used in the present work, we considered the
Enhanced Frost (5x5) with the best visual performance, thus SIR-C
images were filtered using that filter. The graphics generated
allowed the understanding of backscatter variation in land cover.
We conclude that the use of different wavelengths and
polarizations aid in the differentiation of land cover classes.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "712",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4BSA",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4BSA",
targetfile = "p0712.pdf",
type = "Sensoriamento remoto de microondas",
urlaccessdate = "27 abr. 2024"
}