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Extraction de réseaux de rues en milieu urbain à partir d'images satellites à très haute résolution spatiale

Renaud Peteri 1 
1 CEP/Sophia
CEP - Centre Énergétique et Procédés
Abstract : This report proposes a method for extracting urban street networks from new very high spatial resolution satellite images. Its goal is to meet the need for an automatized building of maps.the proposed method uses digital image as only input data. It is semi-automatic at the detection step, and takes advantage of cooperation between linear representation of streets and their representation as surface elements. A topological graph of the street network is first extracted, and used for initializing the surface reconstruction step. The extraction result can then be used in order to precisely register the street centerline. This method favors strong geometrical constraints in order to avoid a radiometric profile model of the street, too variable in urban areas. To that aim, a model of active contour associated with the wavelet transform, called doublesnake, has been developed. Its evolution in a multi-scale framework enables the extraction of parallel street sides in a noisy environment. Then, final positions of doublessnakes permit the extraction of intersections.the method has been applied on images from different sensors and with different urban types. An innovative protocol for a quantitative assessment of the results compared to human interpretation has shown its generic aspect, as well as its robustness with respect to noise.this method is a step toward a fully automatized cartography of the street network.
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Contributor : Ecole Mines ParisTech Connect in order to contact the contributor
Submitted on : Monday, February 9, 2004 - 8:00:00 AM
Last modification on : Wednesday, November 17, 2021 - 12:32:58 PM
Long-term archiving on: : Thursday, September 30, 2010 - 5:58:07 PM


  • HAL Id : pastel-00000508, version 1


Renaud Peteri. Extraction de réseaux de rues en milieu urbain à partir d'images satellites à très haute résolution spatiale. domain_other. École Nationale Supérieure des Mines de Paris, 2003. Français. ⟨pastel-00000508⟩



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