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Extraction of urban network from high spatial resolution imagery

Abstract : This paper presents a new strategy to extract, fully or semi-automatically, quadrangular urban network from high spatial resolution imagery. A quadrangular network is generally composed of different classes of streets in a hierarchical system. The developed strategy is based both on the multiresolution analysis and on the wavelet transform. The multiresolution analysis allows a multiscale analysis of images and thus to focus on the streets of one class at once. The wavelet transform enables the modelling of information at different characteristic scales. In the problem, it allows to model the topology of streets. These two mathematical tools are combined in the "a trous" algorithm; The application of this algorithm to images of urban areas is used to develop fully or semi-automatic multiresolution processing in order to extract a hierarchical urban network from high spatial resolution imagery. These methods will bring a help to the photo-interpreter in his work.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00465933
Contributor : Lucien Wald <>
Submitted on : Thursday, April 22, 2010 - 9:25:19 AM
Last modification on : Wednesday, October 14, 2020 - 4:02:44 AM
Long-term archiving on: : Tuesday, September 14, 2010 - 5:34:06 PM

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  • HAL Id : hal-00465933, version 1

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Isabelle Couloigner, Thierry Ranchin, Lucien Wald. Extraction of urban network from high spatial resolution imagery. 17th EARSeL Symposium “ Future Trends in Remote Sensing ”, Jun 1997, Lyngby, Denmark. pp.213-220. ⟨hal-00465933⟩

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