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Proceedings Paper

Using directional variance for urban area analysis on Spot 5 panchromatic images
Author(s): Vincent Bessettes; Jacky Desachy
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Paper Abstract

At the beginning of next year (2002), CNES will launch the SPOT 5 satellite. Before the launching, CNES has to validate the choices made for the sensors with the use of simulated images. Our study has been made as part of the use of SPOT 5 panchromatic images for urban area analysis. The objective of this study is to extract built-up urban areas and urban thoroughfares from simulated images. Looking at SPOT 5 panchromatic simulated images shows us that the grey level is not a good characteristic to discriminate buildings of the urban areas from other types of regions such as thoroughfares or nude-grounds. In the meantime, buildings define heterogeneous areas whereas thoroughfares and nude-grounds are homogeneous regions. So in order to classify built-up urban areas and thoroughfares, we suggest to use the directional variance of the image. With this end in view, we define a new operator of texture analysis, and we propose to combine it with classification algorithms and edge extraction operators. In order to validate our method, we present some results we have obtained on the city of Strasbourg, using simulated SPOT 5 images of 5m per pixel resolution, provided by CNES agency.

Paper Details

Date Published: 28 January 2002
PDF: 9 pages
Proc. SPIE 4541, Image and Signal Processing for Remote Sensing VII, (28 January 2002); doi: 10.1117/12.454163
Show Author Affiliations
Vincent Bessettes, Univ. Paul Sabatier (France)
Jacky Desachy, Univ. des Antilles et de la Guyane (France)

Published in SPIE Proceedings Vol. 4541:
Image and Signal Processing for Remote Sensing VII
Sebastiano Bruno Serpico, Editor(s)

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