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Using SPOT images for urban area classification
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.
Using SPOT images for urban area classification
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.
Using SPOT images for urban area classification
Bessettes, Vincent (author) / Desachy, Jacky (author)
Image and Signal Processing for Remote Sensing IV ; 1998 ; Barcelona,Spain
Proc. SPIE ; 3500
1998-12-04
Conference paper
Electronic Resource
English
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