Road extraction from satellite images is challenging research area in information extraction from high-resolution remote sensing images such as IKONOS and QUICKBIRD. The road from satellite images can be identified based on its geometric, spectral, topological and contextual properties as well as on various illumination and geographical environment. The road network extraction results in map generation in short time. In this paper roads are extracted by semi-automatic method road network. Image Binarization is achieved by C means clustering algorithm followed by morphological operation which includes filtering and image thinning.
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