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Directional mathematical morphology for the detection of the road network in Very High Resolution remote sensing images

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5 Author(s)
Valero, S. ; Signal & Image Dept., Grenoble Inst. of Technol., Grenoble, France ; Chanussot, J. ; Benediktsson, J.A. ; Talbot, H.
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This paper presents a new method for extracting roads in Very High Resolution remotely sensed images based on advanced directional morphological operators. The proposed approach introduces the use of Path Openings and Closings in order to extract structural pixel information. These morphological operators remain flexible enough to fit rectilinear and slightly curved structures since they do not depend on the choice of a structural element shape and hence outperform standard approaches using rotating rectangular structuring elements. The method consists in building a granulometry chain using Path Openings and Closing to perform Morphological Profiles. For each pixel, the Morphological Profile constitutes the feature vector on which our road extraction is based.

Published in:

Image Processing (ICIP), 2009 16th IEEE International Conference on

Date of Conference:

7-10 Nov. 2009

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