The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 31-259
Full Name: Soufiane Idbraim
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: 215, Bloc D3, Hay Dakhla, Agadir
Country: MOROCCO
Tel: 0021267492520
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E-mail address: soufianeidbraim@yahoo.fr
Other E-mails: soufego1@hotmail.com
Title of the Paper: An automatic system for urban road extraction from satellite and aerial images
Authors as they appear in the Paper: Soufiane Idbraim,Driss Mammass,Driss Aboutajdine,Danielle Ducrot
Email addresses of all the authors: soufianeidbraim@yahoo.fr,driss_mammass@yahoo.fr,danielle.ducrot@cesbio.cnes.fr
Number of paper pages: 10
Abstract: we present in this paper an automatic system of urban road extraction from satellite and aerial imagery. Our approach is based on an adaptive directional filtering and a watershed segmentation. The first stage consists of an automatic procedure which adapts filtering of each block band to the dominant direction(s) of roads. The choice of the dominant direction(s) is made from a criterion based on the calculation of a factor of direction of detection. The second stage is based on watershed algorithm applied to a Shen-Castan gradient image. This process provides a decision map allowing correcting the errors of the first stage. A ratio of surface on perimeter is used to distinguish among all segments of the image those representing probably roads. Finally, in order to avoid gaps between pieces of roads, the resulting image follows a treatment, based on proximity and colinearity, for linking segments. The proposed approach is tested on common scenes of Landsat ETM+ and!
aerial imagery of the city of Agadir in Morocco. The experimental results show satisfactory values of completeness and correctness and are very prominsing.
Keywords: Road extraction,Satellite and aerial imagery,Urban areas,Adaptive directional filtering,Segmentation,Grouping,Evaluation.
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