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A Road Extraction Approach Based on Fuzzy Logic for High-Resolution Multispectral Data

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4 Author(s)

In this paper, we present an approach based on information fusion for road networks extraction from high-resolution multi-spectral satellite image data that builds upon pixel-based fuzzy logic segmentation approach. This road networks extraction system includes three different modules: geometrical features processing based on local context; segmentation based on fuzzy classification; angular texture signature to refine road clusters. Experimental results show that this method is efficient and distinct in the discrimination of roads and other spectral similar land cover classes.

Published in:

Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on  (Volume:2 )

Date of Conference:

24-27 Aug. 2007