Matching method for areal feature considering Context-dependent similarity

Aiming at the problems that the existing matching methods emphasize on geometry similarity,and not enough on spatial relations similarity,this paper put forwards a matching method for areal feature considering Context-dependent similarity.This method improved the traditional matching method based on geometry similarity evaluation,and then provide a similar matrix method to ensure matching relationship.This paper considered the similarity of spatial relationship,and then set up the evaluation model considering context-dependent similarity by combining the geometry similarity.The results of study show that this method can effectively solve the problem of the low matching precision caused by coordinate offset,etc.,and further enhance the speed and accuracy of the matching.