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Automated road network extraction from remotely sensed imagery is of importance in the context of road databases creation, refinement and updating. Substantial amount of research has been carried out to extract road network from satellite imagery in the photogrammetric and computer vision communities. However, little research has been conducted on utility of multi-temporal satellite images in the context of road extraction. This paper first proposes a simple scheme to detect vehicles using high resolution multi-temporal images of a geographic location and uses the detected road seeds in Fourier descriptor based road tracking algorithm to extract the road network. Performance of the proposed method on CARTOSAT-2 images is discussed.