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机构地区:[1]中南大学地球科学与信息物理学院,长沙410083 [2]国家基础地理信息中心,北京100830
出 处:《测绘科学》2015年第2期160-164,共5页Science of Surveying and Mapping
基 金:国家课题支撑计划项目(2012BAK12B00)
摘 要:针对网络数据源的分类标准与我国分类标准不同且相互独立这一情况,该文提出了一种顾及权重的地图中地名自动分组标注算法:依据图层要素的类别属性在知识库中查找最符合的权重知识,将地物标注分组;对权重最高的组进行标注叠加分析、最优化分析,进而达到最优化标注;将最优化的标注与次级权重高的组进行叠加分析、最优化分析,进而达到次级组的最优化标注;循环此步骤,直到末级组的最优化标注。依据此方法能够自动实现对集成数据中同一层具有不同权重地物的差别化标注,最后结合中国地名分类代码和OSM分类代码实现了该算法。The classification criteria of data source online is not only different from China's but also mutually independent.In practice,it is necessary to be converted into China's classification criteria and to display the annotation according to China's mapping specifications.This paper presented a packet labeling algorithm considering the weight of feature.At first,it searched the knowledge base to find the most suitable weight-knowledge based on feature's classification attribute.Secondly,it did the overlay analysis and optimization analysis of labeling for the highest weight packet,and optimized the labels.Then,it did the overlay analysis and optimization analysis between the optimal labels and the secondary weight packet,to achieve the optimization of labels in the secondary packet.Circulating this step until it reached the final packet.This method could achieve automatically differential labels on different weight of features in the same layer.Finally,it was realized by combining China's classification criteria with OSM's.
关 键 词:自动分组标注 权重 最优化标注 数据分类 地名自动标注
分 类 号:P208[天文地球—地图制图学与地理信息工程] P273[天文地球—测绘科学与技术]
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