摘要
针对城市地标特征难以量化,且缺乏基于基础地理信息库的地标层快速提取方法的问题,该文从空间知识表达和公众空间认知规律的角度,对多尺度城市地标做出了明确定义;并提出了基于基础地理信息数据库的小尺度城市地标自动提取模式。通过计算签到次数和局部可达性两个指标的加权显著度,辅以热点分析来进行筛选,按照所需提取数量设置阈值,从POI中提取地标要素集合。实验结果与人工提取地标层对比证明,地标自动提取结果能较好地反映实际情况。
According to the fact that it＇s difficult to assess the salience of urban landmarks and there lacks a rapid method for extracting urban landmarks from basic geographic information database,this paper presented a clear and systematic definition for multi-scale urban landmarks,together with a smallscale urban landmarks extraction model,from the aspect of spatial knowledge representation and public spatial cognition rules.In the small-scale urban landmarks extraction model,salience was expressed by two weighted parameters：check-in numbers and local accessibility.A hotspot analysis was performed as a filter and extraction threshold was set according to predestinate number of landmarks to be extracted.By comparing with landmarks extracted manually,experiment showed that extraction results could reflect the real situation better.
作者
熊沁
翁敏
孟社宁
XIONG Qin;WENG Min;MENG Sheninge(School of Resource and Environmental Sciences, Wuhan University, Wuhan430079, China;The 713 Institute of China Shipbuilding Industry Corpora- tion, Zhengzhou 450000, China)
出处
《测绘科学》
CSCD
北大核心
2018年第6期161-166,共6页
Science of Surveying and Mapping
关键词
地标提取
地址描述
空间认知规律
认知的尺度效应
urban landmarks extraction
address description
spatial cognition
scale effect of cognition
