Research on Updating of Urban Large Scale Road Map Based on High Resolution Remote Sensing Image

Road feature is one of the most important features of urban. The change of road reflects construction speed of an urban. map road updating timely and exactly becomes an urgent issue. Current method updating of road feature is carried out complete manually, and has the disadvantage of tending to lose changed road and low automatic level. The updating of map road feature including two parts: one is change detection, and the other is map road revision. Map road updating method which is used currently is to do the change detection and map revision at the same time manually, which is tending to lose changed road, and the automatic level is low. This paper designed a new method to update map road feature named “revision based on change detection”, it detects disappeared or partial changed road primarily and then revise changed road according to the change detection result. Firstly the change detection method for map road feature is presented, secondly applies the method to map road revision and put forward a new method of road updating, lastly experiments are presented. One is to testify the efficiency of change detection method, the other is to compare new method and current method on omission of changed road and a comprehensive evaluation is presented. As a result, the change detection method this paper put forwards is able to detect disappeared or partial changed roads efficiently, improves the level of automation of change detection. The road map updating methods of “revision based on change detection” this paper put forwards avoids omission of disappeared or partial changed roads, and improves the automation level of road map updating.