Traffic objects auto-recognition research based-on MAS technology

How to find an efficient method to solve the problems of object auto-recognition has been a research hot point. For the application of remote sensing image processing, this paper analyses features and inner relations of traffic objects. Handling with multi-agent system (MAS) technology, by using prior knowledge, we design a whole auto-recognition pattern. That is based-on the thought of dynamic plan to determine the road seed, and extract the road information. With it, we can extract the bridge, toll-station and tunnel mouth. Conversely, based-on the thought of separation ocean from land, we can extract the bridge kindly, and then track the road. So, a method of intelligent recognition with mutual inference is formed. For the size more than 10000times10000 pixels remote sensing images, the recognition results of road, bridge, toll-station and tunnel are good performance.