A Multisource Contour Matching Method Considering the Similarity of Geometric Features

• Main Author: GUO Wenyue,YU Anzhu,SUN Qun,LI Shaomei,XU Qing,WEN Bowei,LI Yuanfu
• Format: Article
• Language: English
• Published: Surveying and Mapping Press 2020-09-01
• Series: Journal of Geodesy and Geoinformation Science
• Subjects: |multisource contour matching|geometric feature|similarity measurement|longest common subsequence|feature descriptor
• Online Access: http://jggs.sinomaps.com/fileup/2096-5990/PDF/1601460570129-434281814.pdf

The existing multi-source contour matching studies have focused on the matching methods with consideration of topological relations and similarity measurement based on spatial Euclidean distance, while it is lack of taking the contour geometric features into account, which may lead to mismatching in map boundaries and areas with intensive contours or extreme terrain changes. In light of this, it is put forward that a matching strategy from coarse to precious based on the contour geometric features. The proposed matching strategy can be described as follows. Firstly, the point sequence is converted to feature sequence according to a feature descriptive function based on curvature and angle of normal vector. Then the level of similarity among multi-source contours is calculated by using the longest common subsequence solution. Accordingly, the identical contours could be matched based on the above calculated results. In the experiment for the proposed method, the reliability and efficiency of the matching method are verified using simulative datasets and real datasets respectively. It has been proved that the proposed contour matching strategy has a high matching precision and good applicability.