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Proceedings Paper

Using SPOT images for urban area classification
Author(s): Vincent Bessettes; Jacky Desachy
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Paper Abstract

The urban areas represent a vast subject in image interpretation. It is interesting to be able to analyze town development, to make streets maps automatically or just, to mask the urban areas in satellite images. The objective of this study is to extract urban areas from remote sensing images and to make a classification of these areas. The proposed method combines different types of operators. At first, we define automatically a mask of the urban areas by combining a classification algorithm with edge extraction algorithms. Then these urban areas are segmented according to the streets, railways and rivers to obtain urban districts. Finally, we define a measure of urban density. In this paper, we focus on the urban extraction algorithm and the urban segmentation process. This study is performed by IRIT and has been partially funded by CNES agency.

Paper Details

Date Published: 4 December 1998
PDF: 13 pages
Proc. SPIE 3500, Image and Signal Processing for Remote Sensing IV, (4 December 1998); doi: 10.1117/12.331864
Show Author Affiliations
Vincent Bessettes, Institut de Recherche en Informatique de Toulouse/Univ. Paul Sabatier (France)
Jacky Desachy, Institut de Recherche en Informatique de Toulouse/Univ. Paul Sabatier (France)


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

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