DocumentCode :
3625944
Title :
Modeling Urbanization Using Building Patterns
Author :
Emel Dogrusoz;Selim Aksoy
Author_Institution :
Bilgisayar M?hendisli?i B?l?m?, Bilkent ?niversitesi, Bilkent, 06800, Ankara. emelkaya@cs.bilkent.edu.tr
fYear :
2007
fDate :
6/1/2007 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
Automatic extraction of buildings and modeling of their spatial arrangements provide essential information for urban applications. This paper describes our work on modeling urbanization using spatial building patterns. Building detection is done using Bayesian classification of multi-spectral information. The individual buildings are used as textural primitives, and co-occurrence based spatial domain features and Fourier spectrum-based frequency domain features are used to model their repetitiveness and periodicity at particular orientations. These features are used to classify image neighborhoods as organized (regular) and unorganized (irregular). Experiments with high-resolution Ikonos imagery show that the proposed technique can be used for automatic segmentation of urban scenes and extraction of valuable information about urban growth.
Keywords :
"Model driven engineering","Data mining","Bayesian methods","Frequency domain analysis","Image segmentation","Layout"
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
ISSN :
2165-0608
Print_ISBN :
1-4244-0719-2
Type :
conf
DOI :
10.1109/SIU.2007.4298764
Filename :
4298764
Link To Document :
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