Using SPOT images for urban area classification

Vincent Bessettes; Jacky Desachy

doi:10.1117/12.331864

4 December 1998 Using SPOT images for urban area classification

Vincent Bessettes, Jacky Desachy

Proceedings Volume 3500, Image and Signal Processing for Remote Sensing IV; (1998) https://doi.org/10.1117/12.331864
Event: Remote Sensing, 1998, Barcelona, Spain

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.

Citation Download Citation

Vincent Bessettes and Jacky Desachy "Using SPOT images for urban area classification", Proc. SPIE 3500, Image and Signal Processing for Remote Sensing IV, (4 December 1998); https://doi.org/10.1117/12.331864

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