@InProceedings{BragionOliMonKörAma:2019:WaSeAp,
author = "Bragion, Gabriel da Rocha and Oliveira, Gabriela Carvalho de and
Monteiro, Ant{\^o}nio Miguel Vieira and K{\"o}rting, Thales Sehn
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)}",
title = "The watershed segmentation approach for VIIRS night-time data",
booktitle = "Anais...",
year = "2019",
editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco
and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
pages = "2172--2175",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "Night-time lights, VIIRS, human settlement, watershed-based
partition.",
abstract = "The remote sensing of night-time lights (NTL) has been growing
since the last decade. Recently, the watershedbased partition
(WBP) approach was presented as a useful method for identifying
patterns of human settlements based on NTL in a novel scale of
analysis. In this paper we tested several methodological
procedures and then presented the pre-processing techniques needed
for implementing the WBP. We submitted the original
VIIRS-Day/Night Band data to a series of operations to emulate a
topography entry for the segmentation algorithm for detection of
watersheds. The processed data were submitted through a gradual
exponentiation until the parameters of the segments were
stabilized. From the third power on, the changes of the parameters
remain above 10%. From the fifth to the sixth power, the changes
represent less than 0.6%. The results of the segmentation indicate
that the exponentiation can enhance the segmentation process of
NTL through the WBP approach.",
conference-location = "Santos",
conference-year = "14-17 abril 2019",
isbn = "978-85-17-00097-3",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3U7A2FB",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U7A2FB",
targetfile = "97812.pdf",
type = "Processamento de imagens",
urlaccessdate = "27 abr. 2024"
}