众源矢量融合技术在数据生产与更新中的应用

Application of Crowd-sourcing Vector Data Fusion Technology in Data Production and Update

目前众源地理空间矢量数据的应用模式单一,仅作为先验信息辅助遥感影像的信息提取和目标检测等,造成海量众源数据的极大浪费。对传统的矢量数据融合范围进行了扩充,将众源矢量数据作为一种新型数据源;基于其特点确立了众源矢量数据的融合框架和技术流程,从质量和语义两个方面重点分析了矢量数据的可用性;并通过数据集成、数据匹配与数据融合3个环节消除了众源数据几何与语义的不一致性,建立了符合我国标准规范的数据集。以阿克苏地区为实验区,通过融合已有的众源矢量数据生产了相关地图产品,提供了实验区域地图服务,为项目提供了有力的数据支撑。

The application modes of crowd-sourcing vector data are fairly single.Crowd-sourcing vector data are only regarded as auxiliary information in object extraction and detection in recent researches,which caused a huge waste of massive crowd-sourcing data.In this paper,we took crowd-sourcing vector data,a new kind of data source,into consideration to generalized definition of vector data fusion.Based on the unique characteristics of crowd-sourcing vector data,we built up the framework and flow of crowd-sourcing vector data fusion processing.Furthermore,we analyzed the availability of existing vector data from semanteme and quality.And then,we used data integration,data match and data fusion to eliminate the geometric and semantic inconsistencies of crowd-sourcing vector data,which making it possible that using unprofessional and non-standard data to build standardized dataset.Finally,taking Akesu for example,we produced the relative map products and provided map services,which offering the strong support to object.