从城市兴趣点中提取多层次地标方法探究

为了获取结构化空间知识,本文在前人研究基础上,提出一种依据显著度差异从城市POI数据中提取多层次地标的方法。分别从知名度、通达度以及个体特征三个方面量化分析了影响POI显著性的因素;然后利用这三个指标构建了POI显著性度量模型,并进行了武汉市武昌区地标提取实验。最后,以各层地标为种子生成Voronoi图,用来反映各层地标的空间影响范围及上下层地标之间蕴含的认知规律。

Studyingon Extracting Hierarchical Landmarks from Urban POI Data

For acquiring the hierarchical spatial knowledge, a method of extracting hierarchical landmarks from urban POI data to their significances is proposed, based on previous work.After analyzing the factors influencing the significances of POI objects from promi-nence, accessibility, and individual characteristics, a significance measure model composed of the three vectors is built.An experi-ment is carried out to compute the significances of the POIs selected from the area of Wuchang region of Wuhan city.In this experi-ment, several levels of landmarks are extracted, and being used as seeds to compute Voronoi diagrams in every level, to reflect the in-fluence area of every landmark and associate the landmarks in the same level and between the sequential levels.