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Proceedings Paper

Use of texture information for urban analysis in spaceborne remote sensing imagery
Author(s): Paul C. Smits; Alessandro Annoni
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Paper Abstract

This article addresses the application of pattern recognition techniques for the analysis of urban and rural areas based on high resolution panchromatic space-borne imagery. In particular, we focus on the problem of finding stable features that allow one to distinguish between urban, industry, and vegetation, categories that are important for understanding the urban pressure on rural areas. The novelty of the paper is the detailed and thorough analysis of the usability of more than 30 texture features in this type of analysis. It is concluded that for the application and the data at hand the homogeneity and contrast features derived from the gray level co-occurrence matrix are the most successful for SPOT panchromatic data.

Paper Details

Date Published: 4 December 1998
PDF: 11 pages
Proc. SPIE 3500, Image and Signal Processing for Remote Sensing IV, (4 December 1998); doi: 10.1117/12.331890
Show Author Affiliations
Paul C. Smits, European Joint Research Ctr. (Italy)
Alessandro Annoni, European Commission Joint Research Ctr. (Italy)


Published in SPIE Proceedings Vol. 3500:
Image and Signal Processing for Remote Sensing IV
Sebastiano Bruno Serpico, Editor(s)

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