Modeling urban structures using graph-based spatial patterns
Author
Doǧrusöz, Emel
Aksoy, Selim
Date
2007-07Source Title
International Geoscience and Remote Sensing Symposium (IGARSS), 2007
Publisher
IEEE
Pages
4826 - 4829
Language
English
Type
Conference PaperItem Usage Stats
128
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Abstract
We introduce a new method for modeling the spatial arrangements of geospatial objects. As opposed to the existing approaches that are based on classifying images using pixel level methods, we propose to use objects as textural primitives and exploit their spatial patterns. First, the primitives are detected using spectral and morphological processing. Then, these primitives form the nodes of a graph where the neighborhood information is obtained through Voronoi tessellation of the image scene. Next, this graph is clustered by thresholding its minimum spanning tree. Finally, the resulting clusters are classified as regular or irregular by examining the distributions of the angles between neighboring nodes. Experiments using Ikonos images show that the application of the proposed model where buildings are used as the primitives and building groups are automatically classified as organized or unorganized can extract valuable information about urban development. © 2007 IEEE.
Keywords
Geospatial objectsSpatial patterns
Urban development
Urban structures
Computer graphics
Computer simulation
Image processing
Pattern recognition