An Algorithm for Muti-Scale One-to-many Areal Feature Matching Based on Geometry Moments and Overly Analysis

This paper carries out research on technique of matching areal features which is very important in vector maps.In many actual situations,muti-scale homonymous areal features may differ greatly in their locations and there is 1∶1 or 1∶N corresponding relationship between them.In order to solve such a problem,an algorithm based on geometry moments and overlay analysis is proposed.This algorithm firstly acquire candidate matching combined areal features based on presupposition that homonymous areal features should have similar global shape feature,such as same area or similar bound rectangle,and then centroid of areal features group is obtained through computing geometry moments.After making centroid of matching areal features concide with each other,the matching relationship of areal features can be determined through computing overlapping similarity.The experiments indicate that the proposed algorithm can still get a satisfactory result even when homonymous features differ greatly in their locations and their matching relationship is one-to-one or one-to-many.