@InProceedings{BragionGoDaSaOlMoAm:2020:CuAlId,
author = "Bragion, Gabriel Da Rocha and Gon{\c{c}}alves, Gabriel C. and
Dal'Asta, Ana Paula and Santos, Carolina De Faria and Oliveira,
Lucas Maia De and Monteiro, Ant{\^o}nio Miguel Vieira and Amaral,
Silvana",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Traffic Flow at Night: a custom algorithm for identifying basal
nighttime radiance levels of roadways",
booktitle = "Anais...",
year = "2020",
editor = "Carneiro, Tiago Garcia de Senna (UFOP) and Felgueiras, Carlos
Alberto (INPE)",
pages = "1--9",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 21. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The recent COVID-19 outbreak drove the attention to methods for
monitoring the flow between settlements, including traffic flow.
Although the remote sensing of nighttime lights is a viable option
to estimate traffic flow derived indicators, changes on radiance
levels at night are not all associated with traffic. This paper
presents the theoretical approach proposed on the development of
an algorithm able to identify spectrally unbiased control samples
for regions of interest (ROI), namely roadway sections. Firstly,
an overview of the algorithm is presented, followed by an
empirical estimation of its time complexity. The results showed
that the algorithm has an O(n) time complexity and that control
samples and ROIs can have similar time series features, indicating
that an analysis without the use of control samples can lead to
biased results.",
conference-location = "On-line",
conference-year = "30 nov. a 03 dez. 2020",
issn = "2179-4847",
language = "en",
ibi = "8JMKD3MGPDW34P/43PL72H",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/43PL72H",
targetfile = "p1.pdf",
type = "Dados espa{\c{c}}o-temporais",
urlaccessdate = "09 maio 2024"
}