| 利用相似性度量的不同比例尺地图数据网状要素匹配算法 |
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| 引用本文： | 安晓亚,孙群,尉伯虎.利用相似性度量的不同比例尺地图数据网状要素匹配算法[J].武汉大学学报(信息科学版),2012,37(2):224-228,241. |
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| 作者姓名： | 安晓亚 孙群 尉伯虎 |
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| 作者单位： | 1. 信息工程大学测绘学院,郑州市陇海中路66号,450052
2. 西北核技术研究所,西安市,710024 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 提出了一种基于相似性度量的不同比例尺地图数据网状要素匹配算法。首先进行结点、弧段的粗匹配,然后利用结点-弧段拓扑关系的相似性和离散Fréchet距离进行精确匹配,匹配过程将几何、语义、拓扑、结点和弧段匹配有效结合起来,最后以可视化方式将不同匹配结果进行显示,以便人机交互。实验表明,该算法可有效地匹配各种复杂情况下的同名道路,并提高匹配的正确率和速度。
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| 关 键 词： | 数据集成 相似性度量 地图匹配 Hausdorff距离 离散Fréchet距离 |
Feature Matching from Network Data at Different Scales Based on Similarity Measure |
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| AN Xiaoya,SUN Qun,YU Bohu.Feature Matching from Network Data at Different Scales Based on Similarity Measure[J].Geomatics and Information Science of Wuhan University,2012,37(2):224-228,241. |
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| Authors: | AN Xiaoya SUN Qun YU Bohu |
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| Institution: | 1 Institute of Surveying and Mapping,Information Engineering University,66 Middle Longhai Road,Zhengzhou 450052,China)(2 Northwest Nuclear Institute of Technology,Xi’an 710024,China) |
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| Abstract: | An algorithm for feature matching from network data at different map scaled based on similarity measure is presented.The whole strategy of matching is the first pre-matching of nodes and arcs,followed by accurate matching through similarity of node-arc topologies and discrete Fréchet distance.The matching process combines the matches in geometry,semantics,topology,nodes and arcs effectively.Finally,the different matching results are displayed to facilitate the human-computer interaction.The experimental results show that this method can match correspondent roads under complicated conditions effectively,and heighten the correctness and the speed of the feature matching. |
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| Keywords: | data integration similarity measure map matching Hausdorff distance discrete Fréchet distance |
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