Paper
30 October 1997 Urban texture analysis
Giovanna Ober, Roberto Tomasoni, Francesca Cella
Author Affiliations +
Abstract
The purpose of this work is the study of urban areas based on texture analysis methodology that may improve the urban investigation through remote sensing, dedicated to seismic vulnerability in correlation with the geometrical properties of building blocks and the vulnerability data, taken from surveys. Most of the algorithms for urban classification in the image processing domain are based only on the use of spectral information, not taking into account the geometric characteristics given by the spatial distribution to roads, buildings and green areas on the image. The study of these local properties, as the texture, may enrich the available information on the image, providing a further information layer which may improve the differentiability among suburban areas originally belonging to homogeneous areas. In order to overcome those limitations, a new methodology, based on the analysis of connected regions, was studied. At first the image is thresholded in order to detect built pixels. Then these pixels are connected into sub-regions and these sub-regions are investigated to extract features.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Giovanna Ober, Roberto Tomasoni, and Francesca Cella "Urban texture analysis", Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); https://doi.org/10.1117/12.279548
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Earth observing sensors

Roads

Satellite imaging

Satellites

Feature extraction

Image processing

Image classification

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