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Proceedings Paper

Urban-area detection and classification on spot images using co-operative operators
Author(s): Vincent Bessettes; Jacky Desachy
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Paper Abstract

The study of urban area is an important problem in image interpretation. It is interesting to be able to analyze town development on satellite images or to mask urban areas automatically. The method we present in this paper consists in the extraction of urban areas form remote sensing images and the classification of these areas. We separate the urban areas from the other types of regions. Then we classify hem according to a measure of the urban density. The algorithms we use, combine different types of operators in order to improve the final classification.

Paper Details

Date Published: 22 December 1997
PDF: 12 pages
Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); doi: 10.1117/12.295617
Show Author Affiliations
Vincent Bessettes, IRIT/Univ. Paul Sabatier (France)
Jacky Desachy, IRIT/Univ. Paul Sabatier (France)


Published in SPIE Proceedings Vol. 3217:
Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing
Jacky Desachy; Shahram Tajbakhsh, Editor(s)

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