AUTOMATIC ROAD DETECTION OF SATELLITE IMAGES USING IMPROVED EDGE DETECTION

Abstract

Road networks play an important role in a number of geospatial applications, such as cartographic, infrastructure planning and traffic routing software. Automatic and semi-automatic road network extraction techniques have significantly increased the extraction rate of road networks. The road detection performance is a critically affected by the noise or low frequency images. Road edge detection plays an significant role to detect the direction of the road and the specific location of obstacles, size and speed of obstacles in the road. In this paper, several road detection techniques are theoretically analyzed, and a new road detection technique is proposed using median filter. By comparing it with some well known techniques it is found that there exist many gaps in the techniques proposed so far.  By comparing the proposed algorithm with proposed it is proved that the proposed algorithm does not provide artifacts was quite more in old tewchniques.