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Proceedings Paper

Applying co-operative operators for urban-area detection using SPOT imagery
Author(s): Vincent Bessettes; Jacky Desachy; Eliane Cubero-Castan
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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. The objective of this study is to extract urban areas from remote sensing images and to make a classification of these areas. The detection algorithm combines different types of operators in order to improve the final detection. We separate urban areas from the other type of regions (vegetation, rivers . . .). Then the urban areas are classified into various under-classes (dense urban areas, suburbs . . .). This study has been performed by IRIT in the frame of the CNES program on studies and research on automatic analysis and interpretation of SPOT images.

Paper Details

Date Published: 17 December 1996
PDF: 12 pages
Proc. SPIE 2955, Image and Signal Processing for Remote Sensing III, (17 December 1996); doi: 10.1117/12.262879
Show Author Affiliations
Vincent Bessettes, IRIT/Univ. Paul Sabatier (France)
Jacky Desachy, IRIT/Univ. Paul Sabatier (France)
Eliane Cubero-Castan, CNES (France)


Published in SPIE Proceedings Vol. 2955:
Image and Signal Processing for Remote Sensing III
Jacky Desachy, Editor(s)

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