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Journal of Applied Sciences

Year: 2008  |  Volume: 8  |  Issue: 17  |  Page No.: 2975 - 2982

Road Extraction from High Resolution Satellite Images Using Image Processing Algorithms and CAD-Based Environments Facilities

F. Farnood Ahmadi, M.J. Valadan Zoej, H. Ebadi and M. Mokhtarzade

Abstract

In this research, a new procedure that was designed to extract road centerline from high resolution satellite images, is presented. The results (road Networks) are fully structured in vector formed in Computer Aided Design (CAD) based system that could be used in Geographical Information System (GIS) with minimum edit. The designed procedure is the combination of image processing algorithms and exploiting CAD-based facilities. In the first step, artificial neural networks are used to discriminate between road and non-road pixels. Then road centerlines are extracted using image processing algorithms such as morphological operators and a road raster map is produced. Some cleaning algorithms were designed to reduce the existing noises and improve the obtained results. Finally, the edited raster map was vectorized using the CAD-based facilities. Obtained results showed that the structured vector based road centerlines are confirming when compared with road network in the reference map.

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