Review of Road Extraction from Remote Sensing Images

With the rapid development of remote sensing and information extraction technology,it is possible to automatically update the geographic information.The road is important manmade object and is component of geographic information data.Road information exacted from remotely sensed imagery to update the GIS database has become a hot research spot for many years.This paper summarizes the course of development on road extraction from imagery,and review main methods of road extraction,template matching,knowledge method,Snakes model,dynamic programming,ridge and valley exaction method,morphological method,Hough transform,multi-scale method,method based on segmentation and other techniques for road exaction as well.The characteristics of various methods and insufficient of road extraction from remote sensing imagery were analyzed.Finally,subsequent studies were prospected.