Matching Road Networks Extracted from Aerial Images to GIS Data

Abstract

In aerial images, road network is the most salient artificial object, and could provide lots of geographical information. Thus it is very valuable for navigation systems,e.g. cruise missile or UAV(unmanned Aerial Vehicle) navigation system. With the presence of GIS in which road network is also the most common data, the position of aerial image can be located by matching it with a model generated from GIS. There are many algorithms presented to match images with model, and mostly the computational costs of them are very expensive, which can not meet the on-line processing requirement. In this paper, we first represent the GIS data as a model(GIS model in abbreviation in the following text).Then, a method for registering the road network picked up from the aerial images with GIS model is depicted.Several aerial images are taken to test the effectiveness of our method. Experimental results demonstrated that the correctness and veracity are both satisfying, and the cost of our method is acceptable.