@InProceedings{NascimentoRubPerBarRic:2013:InWEQu,
author = "Nascimento, Anderson F{\'e}lix do and Rubim, Igor Brum and
Pereira, Eduardo Gustavo Soares and Barros, Rafael Silva de and
Richter, Monika",
title = "Classifica{\c{c}}{\~a}o da Cobertura da Terra, Utilizando os
Programas Livres: InterIMAGE, WEKA e QuantumGIS",
booktitle = "Anais...",
year = "2013",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "2258--2265",
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 = "Working with geomatics, remote sensing and its products like high
resolution satellite images offers great data amount. Investigate
and study those data demands appropriate software tools. This
paper intended to present an image analysis for remote sensing
based only in open source and free software. To reach this goal
InterIMAGE 1.28, QuantumGIS 1.8 and WEKA 3.6 were employed. A
GeoEye-1 satellite image acquired over Angra dos Reis city, Rio de
Janeiro, Brazil, has been segmented in InterIMAGE. The
segmentation file was used to collect some samples and attributes
were exported with them on a vector file. A data mining software
(WEKA) was used to analyse those data exported and a decision tree
has been generated by the same software. Its results with decision
rules were applied on the segmentation file in QuantumGIS. In this
software, the advanced search tool has been used to find the group
of features of their classes, according the decision rules and
attributes established in WEKA. No edition or modification on the
modeling proposed by WEKA was done. As result, a map with land
cover and land use of the area was produced. A point vector file,
with 30 samples per class was produced in QuantumGIS in order to
evaluate accuracy of this map. As reference it was used an
existing and validated land cover and land use map in 1:5.000
scale, produced by ESPA{\C{C}}O laboratory using Definiens. With
this comparison a confusion matrix has been generated, obtaining
66% of global accuracy.",
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 = "1453",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW34M/3E7GLEF",
url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GLEF",
targetfile = "p1453.pdf",
type = "Classifica{\c{c}}{\~a}o e Minera{\c{c}}{\~a}o de Dados",
urlaccessdate = "16 jun. 2024"
}