| 一种自身全局最优的道路网Stroke生成方法 |
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| 引用本文： | 吕峥,孙群,温伯威,马京振.一种自身全局最优的道路网Stroke生成方法[J].测绘通报,2022,0(7):93-99. |
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| 作者姓名： | 吕峥 孙群 温伯威 马京振 |
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| 作者单位： | 信息工程大学地理空间信息学院, 河南 郑州 450001 |
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| 基金项目： | 河南省中原学者资助项目(202101510001);智慧中原地理信息技术河南省协同创新中心和时空感知与智能处理自然资源部重点实验室基金(212102) |
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| 摘 要： | Stroke在道路网研究中发挥着重要作用,目前Stroke连接策略大多限于局部,对Stroke的全局表现考虑不足。针对以上不足,本文提出了一种自身全局最优的道路网Stroke生成方法,以起始路段为根结点,以连接规则为约束构建Stroke树,并通过随机森林算法投票选出每棵树的最优Stroke。经试验验证,自身全局最优的道路网Stroke生成方法在视觉认知和网络功能方面的表现均优于自身适合策略、自身最大适合策略及每对最大适合策略。
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| 关 键 词： | 道路网 自身全局最优 随机森林 Stroke树 |
| 收稿时间： | 2021-08-17 |
A self-global-best-fit road network Stroke generation method |
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| Lü Zheng,SUN Qun,WEN Bowei,MA Jingzhen.A self-global-best-fit road network Stroke generation method[J].Bulletin of Surveying and Mapping,2022,0(7):93-99. |
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| Authors: | Lü Zheng SUN Qun WEN Bowei MA Jingzhen |
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| Institution: | Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China |
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| Abstract: | Stroke plays an important role in road network research. At present, most stroke connection strategies focus on the local and don't consider global performance. The paper presents a self-global-best-fit strategy for generating road network Stroke. Firstly, the Stroke tree is built under the constraints of connection rules with the selected road as the root node. Then, the best Stroke of each tree is selected by the random forest algorithm. The results show that the performance of the self-global-best-fit strategy is better than the self-fit strategy, self-best-fit strategy, and every-best-fit strategy in visual cognition and network function. |
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| Keywords: | road network self-global-best-fit random forest Stroke tree |
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