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Proceedings Paper

Road extraction from SAR images by using a graphical sketch of road
Author(s): Dalila Cherifi; Florence Tupin; Michel Roux; Henri Maitre
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Paper Abstract

The subject of this communication is the detection of roads on SAR images starting from a user-drawn graphical sketch. This sketch is considered as a road model, and the main contribution of this communication is to incorporate this model in a yet-existing blind road detection method to improve the quality and reliability of the detection. The method combines both local and global criteria for raod extraction. It consists of mainly two parts. First local information is extracted by applying a low-level operator, based on a line detector taking to account the statistical properties of speckle in SAR images. In the second step, road detection is performed by selecting the best road in a graph composed of all the detected segments and all possible connections between them. To demonstrate the contribution of the use of a model in the road detection, we first introduce an "exact" model of hte road (extracted for instance from a road map), in order to validate the method. Then the method is applied with an un-precise model (both in form and position). The obtained results from different SAR images are presented and evaluated with objective criteria.

Paper Details

Date Published: 7 March 2003
PDF: 10 pages
Proc. SPIE 4883, SAR Image Analysis, Modeling, and Techniques V, (7 March 2003); doi: 10.1117/12.463067
Show Author Affiliations
Dalila Cherifi, École Nationale Supérieure des Télécommunications (France)
Florence Tupin, École Nationale Supérieure des Télécommunications (France)
Michel Roux, École Nationale Supérieure des Télécommunications (France)
Henri Maitre, École Nationale Supérieure des Télécommunications (France)


Published in SPIE Proceedings Vol. 4883:
SAR Image Analysis, Modeling, and Techniques V
Francesco Posa, Editor(s)

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