@InProceedings{BottinoCeba:2003:ClScMu,
author = "Bottino, Marcus Jorge and Ceballos, Juan Carlos",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Classification of scenes in multispectral GOES-8 imagery",
booktitle = "Anais...",
year = "2003",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria
Garcia",
pages = "1129--1135",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 11. (SBSR).",
publisher = "INPE",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "remote sensing, image processing, GOES-8, cloud, meteorology.",
abstract = "Preliminary results are presented, concerning a method for
identification of different types of clouds and clear-sky pixels
in GOES-8 imagery. Based on full resolution images in five
channels, thirteen different variables were designed for pixel
identification. A clustering procedure ({"}dynamic cloud{"}) was
used for determining 32 different classes of pixel environment,
defined by respective 13-dimensional centroids. Results are
coherent with usual two-dimensional analysis based on reflectance
(channel 1) and brightness temperature (channel 4), while eleven
remaining components could offer additional information.
Hierarchical clustering of centroids suggests the existence of
five main groups of scenes. The question about the minimal number
of non redundant variables is analyzed by factor analysis of
centroids. It is found that four variables would be enough for
proper description of cloud and clear-sky fields, be: brightness
temperature and texture in channel 4, texture in VIS channel, and
difference between channels 5 and 4.",
conference-location = "Belo Horizonte",
conference-year = "5-10 abr. 2003",
copyholder = "SID/SCD",
isbn = "85-17-00017-X",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais",
ibi = "ltid.inpe.br/sbsr/2002/11.18.11.01.31",
url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2002/11.18.11.01.31",
targetfile = "11_385.pdf",
type = "Sensoriamento Remoto da Atmosfera e Meteorologia / Meteorology and
Atmospheric Remote Sensing",
urlaccessdate = "02 maio 2024"
}