ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume I-2
11 Jul 2012
 | 11 Jul 2012


Q. Meng, Z. Fu, Y. Huang, and M. Shen

Keywords: Geometric, Feature, Polygon Simplification, Vector Data, Polygon Matching, Proximate-tangent Space

Abstract. This paper proposes a new method for the matching of polygon features. Firstly, the main points depicting the shape of the polygon feature are extracted with the method of simplifying the delineation and are represented in the Proximate-tangent Space. Secondly, constructing the analogous estimate function based on the polygon's property that going along the edges of the polygon covers the minimum total area. With the help of the constructed analogous estimate function, the corresponding feature points on the matching features and objective features are found and paired. After pairing all the feature points, the interpolation on the edges and angles realize the quick matching of the polygon features. At last, the polygon features on the two maps with the scale of 1:10000 and 1:2000 respectively are put into the experiment. It turns out that this matching method not only operates with a high speed but also has a strong robustness.