@InProceedings{SouzaKux:2013:ClCoSo,
author = "Souza, Ulisses Denache Vieira and Kux, Hermann Johann Heinrich",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Classifica{\c{c}}{\~a}o da cobertura do solo urbano na {\'a}rea
costeira de S{\~a}o Lu{\'{\i}}s-MA, utilizando imagens do
Sat{\'e}lite WorldView-II e t{\'e}cnicas de
minera{\c{c}}{\~a}o de dados",
booktitle = "Anais...",
year = "2013",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "1151--1158",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Urban areas are characteristic spaces under dynamic changes, with
problems related to planning land cover. Such areas are especially
fragile when they are located in coastal regions with mangrove
vegetation and dune ecosystems. Remote sensing information and
data mining techniques allow the automatic extraction of important
information for planning and urban management issues of such
areas. Data processing of the new high resolution remote sensing
satellite systems considers the GEOBIA paradigm. In this study
data from the WorldView-2 satellite. The objective of this study
was to evaluate the capability of these datasets for the
classification of land cover in urban coastal areas. Two
test-sites were considered at the northern section of S{\~a}o
Lu{\'{\i}}s city (Maranh{\~a}o State, Brazil). Initially, tests
were made with a classification model, considering only those
tools implemented at the InterIMAGE classification software.",
conference-location = "Foz do Igua{\c{c}}u",
conference-year = "13-18 abr. 2013",
isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
label = "1501",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW34M/3E7GLNA",
url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GLNA",
targetfile = "p1501.pdf",
type = "Ambientes Urbanos",
urlaccessdate = "15 jun. 2024"
}