Analysis of Various Road Pattern Recognition Methods for Satellite Images

Abstract

Abstract--Recently road extraction from satellite imagery has emerged as one of the hot topics in the research field. It is particularly employed in the city planning, cartography and to revise already detected roads in Geographic Information Systems (GIS) environment.. Some of the several applications of road extraction are renewal of GIS database, reference for image registration, assistance for identification algorithms and fast mapping. Road extraction enables the road network to be truly presented in the object space when the image to ground systems transformation is carried out and it has been described as the method of detection and precise localization of roads in the image. Automatic road extraction attempts to simplify and speed up the road extraction process by focusing on automating all or few parts of this process. In photogrammetry and digital image processing fields, road extraction is considered as a challenging issue. In this paper detailed survey has been carried out on various road extraction techniques from satellite images and their performances were analyzed. Keywords-Particle filtering.kalman filtering, road extraction, Neural network and dense cloud points