@InProceedings{Namikawa:2017:MeBuCl,
author = "Namikawa, Laercio M.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "A method to build cloud free Images from CBERS-4 AWFI sensor using
median filtering",
booktitle = "Anais...",
year = "2017",
editor = "Davis Jr., Clodoveu A. (UFMG) and Queiroz, Gilberto R. de (INPE)",
pages = "52--61",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 18. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Cloud free images are useful for applications where the user is
more interested in the visual identification of variability of a
phenomenon than in the actual values. The presence of clouds and
their shadows hinder the visual interpretation in these
applications. Median values in data sets are a better
representation of the true value than the average when the data
set is contaminated with unusual high or low values. Since clouds
and their shadows are these unusual values, the median value of a
pixel from images gathered in different conditions could provide
true representation of the pixel value. To test this hypothesis,
images from CBERS-4 AWFI sensor covering an area of 70 Km by 60 km
around Brasi\́lia in Brazil and acquired from 2017/July/20th
to 2017/August/24th were processed using data sets with 3, 5 and 6
images. The results indicate that the smaller set is enough to
build a cloud free image where a pixel has at least 2 cloud free
data. In more general cases, 6 images are enough to build a cloud
free data.",
conference-location = "Salvador",
conference-year = "04-06 dez. 2017",
issn = "2179-4820",
language = "pt",
ibi = "8JMKD3MGPDW34P/3Q5DL3E",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3Q5DL3E",
targetfile = "6namikawa.pdf",
urlaccessdate = "27 abr. 2024"
}