@InProceedings{NovackKuxFeitCost:2010:PeBlUr,
author = "Novack, T. and Kux, H. J. H. and Feitosa, R. Q. and Costa, G. A.",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
PUC-RIO, Dept. of Electric Engineering, Rio de Janeiro, Brazil
{raul, gilson}@ele.puc-rio.br Commission VI, WG IV/4 KEY and
PUC-RIO, Dept. of Electric Engineering, Rio de Janeiro, Brazil
{raul, gilson}@ele.puc-rio.br Commission VI, WG IV/4 KEY",
title = "Per block urban land use interpretation using optical vhr data and
the knowledge-based system interimage",
booktitle = "Proceedings...",
year = "2010",
editor = "Coillie, E. A. Addink and F. M. B. Van",
organization = "Geographic Object-Based Image Analysis (GEOBIA 2010).",
publisher = "ISPRS Working Groups",
keywords = "InterIMAGE System, Knowledge-based Image Classification, Urban
Land Use, Fuzzy Logic.",
abstract = "This study uses the InterIMAGE system and imagery from the
QuickBird II optical sensor for the land use classification at two
test-sites in the metropolis of S{\~a}o 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 that can emulate human
reasoning based on the paradigms of the object-oriented image
analysis. The two land use classifications were carried out
considering the urban blocks of the test-sites as analysis units.
After obtaining the land cover classifications of the two
test-sites, customized features related to the composition,
structure and geometrical properties of the land cover objects
within these blocks were created. The description of the land use
classes was done associating these customized features with
membership functions and arranging these expressions in membership
values aggregation structures. The proposed methodology has shown
to be promising for automatic land use interpretation of complex
urban areas such as that found in S{\~a}o Paulo. The land use
classifications achieved Overall Accuracies above 70% in the two
test-sites and Kappa Indexes of 0.69 and 0.53. This study has
explored some of the main presently available potentialities of
InterIMAGE for object-based and knowledge-based image
classification. This application of InterIMAGE, as well as the
system itself, is under development.",
conference-location = "Ghent, Belgium",
conference-year = "2010",
issn = "1682-1777",
language = "en",
targetfile = "novack per block.pdf",
volume = "38-4/C7",
urlaccessdate = "12 maio 2024"
}