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Modeling Urbanization Using Spatial Building Patterns Selim Aksoy and Emel Dogrusoz
 

Summary: Modeling Urbanization Using Spatial Building Patterns
Selim Aksoy and Emel Dogrus¨oz
Department of Computer Engineering
Bilkent University
Bilkent, 06800, Ankara, Turkey
{saksoy,emelkaya}@cs.bilkent.edu.tr
Abstract
Automatic extraction of buildings and modeling of their
spatial arrangements provide essential information for ur-
ban applications. This paper describes our work on mod-
eling urbanization using spatial building patterns. Build-
ing detection is done using Bayesian classification of multi-
spectral information. The individual buildings are used
as textural primitives, and co-occurrence-based spatial do-
main features and Fourier spectrum-based frequency do-
main features are used to model their repetitiveness and
periodicity at particular orientations. These features are
used to classify neighborhoods as organized (regular) and
unorganized (irregular). Experiments with high-resolution
Ikonos imagery show that the proposed technique can be

  

Source: Aksoy, Selim - Department of Computer Engineering, Bilkent University

 

Collections: Computer Technologies and Information Sciences