@InProceedings{ReisEscaSantDutr:2017:HaLeFo,
author = "Reis, Mariane Souza and Escada, Maria Isabel Sobral and Sant'Anna,
Sidnei Jo{\~a}o Siqueira and Dutra, Luciano Vieira",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Harmoniza{\c{c}}{\~a}o de legendas formalizadas em Land Cover
Meta Language-LCML",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "863--870",
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 = "Many agencies have been producing land cover data with different
definition, number and type of classes. In order to compare two
data sets created using different legends and/or classification
systems, it is necessary to carry out a harmonization process.
This work aims to present and evaluate a harmonization process
between two Land Cover Meta Language (LCML) formalized legends. To
this purpose, two types of land cover legends obtained from maps
from satellite images generated for Amazon region were analyzed
and had their legends harmonized based on two approaches: 1)
considering the semantic meaning of the classes and; 2)
considering LCML descriptors and thresholds. The land cover maps
generated with optical and SAR data were reclassified considering
the harmonized legends proposed and were evaluated in terms of
accuracy and agreement of the classes. For this analysis it was
necessary to convert the land cover mappings to the same format
and projection, and to solve problems of miss-registration.
Although the harmonization process has shown to be effective, not
all of the classes from TerraClass legend could be harmonized to
the classes of the two maps analyzed.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59610",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS4FNH",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4FNH",
targetfile = "59610.pdf",
type = "Processamento de imagens",
urlaccessdate = "2024, Mar. 28"
}