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郑传帮(博士生)、郭庆胜的论文在ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION刊出
发布时间:2024-06-27     发布者:易真         审核者:任福     浏览次数:

标题: Collaborative Methods of Resolving Road Graphic Conflicts Based on Cartographic Rules and Generalization Operations

作者: Zheng, CB (Zheng, Chuanbang); Guo, QS (Guo, Qingsheng); Wang, L (Wang, Lin); Liu, YA (Liu, Yuangang); Jiang, JF (Jiang, Jianfeng)

来源出版物: ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION : 13 : 5 文献号: 154 DOI: 10.3390/ijgi13050154 Published Date: 2024 MAY

摘要: The resolution of road graphic conflicts is a key aspect of map generalization, which involves both scale reduction and the symbolization of map features. This study proposes collaborative methods of road graphic conflict resolution considering different road characteristics. These methods consider both geometric and semantic characteristics, and they incorporate the bend characteristics of roads, the road symbol size, and road semantics. Constrained Delaunay triangulation skeleton lines are used to categorize road graphic conflicts, which are made up of four independent conflict types and four group conflict types. Based on their characteristics, three collaborative methods are designed to deal with the different types of road graphic conflicts: collaboration between deletion and the snake displacement model, collaboration between the snake displacement model and collinearity, and collaboration among simplification, smoothing, and the beam displacement model. Two types of independent conflicts can be processed using only one simple operation. This study summarizes the cartographic rules for resolving road graphic conflicts, and these are used along with geometric features to drive the collaborative methods or one simple operation presented here. The experimental results indicate that the method proposed in this study can effectively resolve road graphic conflicts.

作者关键词: cartographic generalization; road graphic conflicts; conflict resolution; cartographic rules; collaborative methods; displacement model

地址: [Zheng, Chuanbang; Guo, Qingsheng; Jiang, Jianfeng] Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Peoples R China.

[Wang, Lin] Shanghai Surveying & Mapping Inst, Shanghai 200063, Peoples R China.

[Liu, Yuangang] Yangtze Univ, Sch Geosci, Wuhan 430079, Peoples R China.

通讯作者地址: Guo, QS (通讯作者)Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址: zhengcb@whu.edu.cn; guoqingsheng@whu.edu.cn; wanglin_whu@126.com; liuygis@foxmail.com; jiangjf@whu.edu.cn

影响因子:2.8