@InProceedings{ReisSantDutr:2017:ClCoTe,
author = "Reis, Mariane Souza and Sant'Anna, Sidnei Jo{\~a}o Siqueira and
Dutra, Luciano Vieira",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Classifica{\c{c}}{\~a}o de cobertura da terra utilizando dados
{\'o}ticos e de radar de abertura sint{\'e}tica em diferentes
n{\'{\i}}veis de detalhamento",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5864--5871",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The use of Synthetic Aperture Radar (SAR) data, sole or
fused/combined to optical data, is interesting in regions like the
Brazilian Amazon, in which cloud cover is constant. Many works has
been done in the region, comparing classifications obtained from
SAR, optical or fused data. In general, optical data has shown
better results than SAR data. Fused data has either presented
better, comparable or worse results. This paper presents land
cover classifications for a region in low Tapaj{\'o}s River, in
the Brazilian Amazon, using optical, SAR and fused data, using
three legends, with different level of detail (number of classes).
It was observed that the lower is the number of classes, the
higher is the accuracy of the classification. Although optical
results were better for all legends level, results obtained from
SAR data is comparable to those when using a small number of
classes. In addition, some classes where better classified using
specific type of data.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59337",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMBRH",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMBRH",
targetfile = "59337.pdf",
type = "Classifica{\c{c}}{\~a}o e minera{\c{c}}{\~a}o de dados",
urlaccessdate = "28 mar. 2024"
}