@Article{NovackKux:2010:UrLaCo,
author = "Novack, T and Kux, H. J. H",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Urban land cover and land use classification of an informal
settlement area using the open-source knowledge-based system
InterIMAGE",
journal = "Journal of Spatial Science",
year = "2010",
volume = "55",
number = "1",
pages = "23 -41",
month = "June",
abstract = "This study uses the InterIMAGE system and imagery from the Quick
Bird sensor for land cover and land use classification at two test
sites with informal settlements in the metropolis of Sao Paulo,
Brazil InterIMAGE is an open source and free access system for
knowledge-based image classification Within InterIMAGE human
knowledge is represented as a semantic net and by user-defined
rules based on the paradigms of object-oriented image analysis In
the land cover classification step, a genetic algorithm was used
for determining appropriate segmentation parameters For the
description of the land cover classes in terms of features and
thresholds, a strategy combining machine learning algorithms and a
semantic net was elaborated Based on the land cover
classifications, the land use classifications were carried out
considering the urban blocks of the test sites as the analysis
units Customized features related to the composition and
geometrical structures of the land cover objects within these
blocks were used for the description of the land use classes The
proposed methodology has been shown to be efficient for the
automatic mapping of the land cover and land use in complex urban
areas The land cover classifications achieved overall accuracies
above 70 percent and Kappa indexes above 0.65. Referring to the
land use classifications, overall accuracies above 87 percent and
Kappa indexes above 0 71 were obtained This study has explored the
main functionalities of the InterIMAGE system, presenting as
potential for object-based and knowledge-based image
classification.",
doi = "10.1080/14498596.2010.487640",
url = "http://dx.doi.org/10.1080/14498596.2010.487640",
issn = "1449-8596",
language = "en",
targetfile = "98-311-1-PB-1.pdf",
urlaccessdate = "04 jun. 2024"
}