@InProceedings{MoraesDFQDSSML:2017:DeSeNu,
author = "Moraes, Douglas Rafael Vidal de and Dias, Emily Regina Siqueira
and Feitosa, Jeremias Vit{\'o}rio Pinto and Quadros, Camila
Barata and Dias, M{\'{\i}}rian Corr{\^e}a and Souza, Jefferson
Jesus de and Santos, La{\'{\i}}s Freitas Moreira dos and
Miranda, Magda Val{\'e}ria Corr{\^e}a and Luz, Nelton Cavalcante
and Ronise",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Detec{\c{c}}{\~a}o semiautom{\'a}tica de nuvens e sombras nas
imagens WFI/CBERS-4 utilizando a ferramenta cloud detection do
sistema TerraAmazon",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5009--5016",
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 Amazon region, by its geographical location, with influences
of the Intertropical Convergence Zone, offers to optical sensors,
the obtainment of images with high cloud coverage in the greater
part of the year, which makes difficult and/or prevents the
orbital images interpretation and can become an obstacle for the
remote sensing and geoprocessing in the forests monitoring.
Keeping this in view, it was implemented a cloud automatic
detection tool, the Cloud Detection, which is available in the
application TerraAmazon, developed by INPE and FUNCATE to give
support to the projects, developed by the National Institute for
Space Research (INPE) for the monitoring of forests. The present
work applied different values to the parameters referring to the
plugin Cloud Detection in the semiautomatic detection of clouds
and shadows for WFI/CBERS-4 images, to verify which parameters
collaborate for the efficiency of the detection and vectorization
of the two targets in question. The results showed that the values
of the morphological filters opening was the one who collaborates
more for the differences in the vectorization; and there will
always have confusion related to some water bodies that, because
of theirs similar reflectance, they are detected as shadows, which
can be edited manually and deleted of the mapping.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59993",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM45Q",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM45Q",
targetfile = "59993.pdf",
type = "CBERS",
urlaccessdate = "04 maio 2024"
}