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。
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.
作者
吕峥
孙群
温伯威
马京振
LÜZheng;SUN Qun;WEN Bowei;MA Jingzhen(Institute of Geospatial Information,Information Engineering University,Zhengzhou 450001,China)
出处
《测绘通报》
CSCD
北大核心
2022年第7期93-99,共7页
Bulletin of Surveying and Mapping
基金
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)。
