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Urban street mapping using quickbird and Ikonos Images

Abstract : This article addresses the problem of urban street mapping from new high resolution satellite images. The proposed algorithm is divided in two sequential modules: a topologically correct graph of the street network is first extracted, and streets are then extracted as surface elements. The graph of the network is extracted by a following algorithm which minimizes a cost function. The surface extraction algorithm makes use of specific active contours (snakes) combined with a multiresolution analysis (MRA) for minimizing the problem of noise. This reconstruction phase is composed of two steps: the extraction of street segments and the extraction of street intersections. Results of the street network extraction are presented on Quickbird and Ikonos images. Future prospects are also exposed
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Renaud Peteri, Thierry Ranchin. Urban street mapping using quickbird and Ikonos Images. IEEE International Geoscience and remote sensing Symposium (IGARSS 2003), Jul 2003, Toulouse, France. p.1721-1723 - ISBN 0-7803-7930-6 - CD-ROM, ⟨10.1109/IGARSS.2003.1294229⟩. ⟨hal-00530541⟩

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