数字农科院2.0

Research on Multi-Scale Vector Road-Matching Model Based on ISOD Descriptor

文献类型： 外文期刊

作者： Yu Yan;Ying Sun;Shaobo Wang;Yuefeng Lu;Yulong Hu;Miao Lu

作者机构：

关键词： cambervariance;included angle chain;ISOD descriptor;multi-scale road networks;spatial relationships

期刊名称： ISPRS International Journal of Geo-Information

ISSN： 2220-9964

年卷期： 2025 年 14 卷 7 期

页码：

收录情况： SCIE（2025版）

摘要： In geographic information data processing, the matching of road data at different scales is crucial. Due to scale differences, road features can change, posing a challenge to multi-scale matching. Spatial relationship is the key to matching because it remains stable at different scales. In this paper, we propose an improved summation product of direction and distance (ISOD) descriptor, which combines features such as included angle chain and camber variance with similarity features such as length, direction, and Hausdorff distance to construct an integrated similarity metric model for multi-scale road matching. The experiments proved that the model achieved 94.75% and 93.34% precision and recall in 1:50,000 and 1:10,000 scale road data matching and 86.39% and 94.06% in 1:250,000 and 1:50,000 scale road data matching, respectively. This proves the effectiveness and practicality of the method. The ISOD descriptor and integrated similarity metric model in this paper provide an effective method for multi-scale road data matching, which helps the integration and fusion of geographic information data, and has an important application value in the fields of intelligent transport and urban planning.

分类号：

  • 相关文献
作者其他论文 更多>>