@InProceedings{VellosoSaSoGlAmOl:2017:QuEsMo,
author = "Velloso, Sidney Geraldo Silveira and Santos, Jo{\~a}o Fl{\'a}vio
Costa dos and Souza, Guilherme Silverio Aquino de and Gleriani,
Jos{\'e} Marinaldo and Amaral, Cibele Hummel do and Oliveira,
Julio Cesar de",
title = "O que esperar de modelos de corre{\c{c}}{\~a}o atmosf{\'e}rica
e topogr{\'a}fica",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5644--5651",
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 = "Models for atmospheric and topographic correction have been
proposed aiming to reduce some negative aspects of the remote
sensing images. In this work, we used two atmospheric correction
models (DOS and FLAASH) and two topographic correction models (SCS
and Minnaert) to get some insights about characteristics of
orbital images after the application of these models. The results
showed that the use of Minnaert and DOS models together causes the
reduction of the intraclass variability, which enhance the
classification for thematic classes extraction. It was observed
that the SCS model is not suitable for the intraclass variability
reduction, once the radiances values of the corrected images are
highly correlated to the numerator of the equation applied in this
model and poorly correlated to the denominator of the same
equation. The spectral behavior of vegetation was obtained for the
images after the use of the models and it was observed that, in
general, there is correspondence between this behavior and that
presented in the literature.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59889",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMBF6",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMBF6",
targetfile = "59889.pdf",
type = "Processamento de imagens",
urlaccessdate = "27 abr. 2024"
}