Texture-based characterization of urban environments on satellite SAR images

We investigate the use of co-occurrence texture measures to provide information on different building densities inside a town structure. We try to improve the pixel-by-pixel classification of an urban area by considering texture measures as a means for block analysis and classification. We find some...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2003-01, Vol.41 (1), p.153-159
Main Authors: Dell'Acqua, F., Gamba, P.
Format: Article
Language:English
Subjects:
Applied geophysics
Buildings
Cities and towns
Classification
Costs
Density
Density measurement
Earth sciences
Earth, ocean, space
Exact sciences and technology
Image analysis
Information analysis
Internal geophysics
Optimization
Satellites
Sensor phenomena and characterization
Surface layer
Synthetic aperture radar
Texture
Urban areas
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Summary:We investigate the use of co-occurrence texture measures to provide information on different building densities inside a town structure. We try to improve the pixel-by-pixel classification of an urban area by considering texture measures as a means for block analysis and classification. We find some interesting hints concerning the optimal dimension of the window to be considered for texture measures, as well as the most useful measures. Moreover, we show that it is possible to use medium-resolution readily available satellite synthetic aperture radar images for a more refined urban analysis than previously shown.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2002.807754