Research On Linkage Matching And Attribute Fusion For Multi-source Vector Road And Building Data

With the widely application of spatial data in various industries and the continuous development of spatial data collection technology,people have accumulated a large number of spatial data in various forms.Digital city construction needs to integrate GIS data from different departments of the city.However,due to the different needs of different departments and industries as well as the differences in data collection processes and means,these multi-source data in the same region are different in data content and data accuracy.Although there are various differences in the data of these different versions,they have their own advantages and uses.Spatial data fusion can integrate these multi-source data with different advantages and take advantage of different versions of data.Accurate matching of spatial data of different scales or different sources is the premise of multi-source spatial data fusion.Spatial data fusion can only be achieved when a match of the identical entity is implemented.The current research on the fusion or merging of vector space elements is mainly focused on the single type of elements,which are matched and fused.However,there are often spatial constraints between multiple types of elements.Such as roads and buildings in large-scale urban spatial data,buildings are usually surrounded by roads.If the spatial constraint relationship between different types of elements can be considered simultaneously in the matching process,the accuracy of matching results can be improved,and then the reliability of vector data attribute fusion or transmission can be improved..Therefore,this paper takes the roads and buildings in the large-scale city vector data as the research object,studies on the relationship construction of roads and buildings,the construction of road and building linkage matching models,and the method of attribute fusion of road and building data.The main research results obtained are as follows:(1)Aiming at the problem that the currently existing road and building matching algorithm only considers the matching of single type elements in the matching process,a linkage matching method for road and building is proposed.The urban space skeleton network is constituted by the skeleton line that is extracted from the blank area and the road together,and then the topological relationship between the road and the building elements originally processed in the separated state in the vector data is established.Based on this,a linkage matching model of road and building is constructed to achieve the linkage matching between roads and buildings.(2)On the basis of the linkage matching between roads and buildings,The attribute fusion strategy and delivery method of road elements and building elements between different data sources are studied.The attribute information of roads and building elements in the city is divided into three types:variable quantitative,immutable quantitative and qualitative,and the attribute fusion method of the road element and the building element under the one-to-one and non-one pair matching relationship is designed.(3)Based on the research results of the theory and methods of this paper,An experimental system for road and building is designed and developed.The system takes road and building elements as experimental objects,and can realize the construction of urban space skeleton network,the linkage matching of roads and buildings,and the fusion of attributes after matching.