Modeling urban structures using graph-based spatial patterns

Date
2007-07
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Source Title
International Geoscience and Remote Sensing Symposium (IGARSS), 2007
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Publisher
IEEE
Volume
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Pages
4826 - 4829
Language
English
Type
Conference Paper
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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.

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Keywords
Geospatial objects, Spatial patterns, Urban development, Urban structures, Computer graphics, Computer simulation, Image processing, Pattern recognition
Citation
Published Version (Please cite this version)