Cross-measuring-scale vector map water network same name target matching method

Abstract

The invention relates to a cross-measuring-scale vector map water network same name target matching method. The method includes the steps of firstly, guiding in two to-be-matched water network data, with the same projection coordinate system and different measuring scale versions, of the same area, setting the small-measuring-scale data as the matching layer, and setting the large-measuring-scale data as the reference layer; secondly, performing geometrical dimensionality consistency treatment on the water network data of the matching layer and the reference layer to allow the same to be uniformly expressed as a node-arc section linear water network structure; thirdly, guiding in a probability relaxation model to perform node matching according to distance relation index; fourthly, performing arc section matching on the basis of node matching relation and distance and length indexes; fifthly, guiding out the same name target matching relation between the original matching layer water network data and reference layer water network data according to the arc section and node matching relation between linear water network structures. The method has the advantages that the difficulty that dimensionality difference exists on the water network data of different measuring scale versions, and the same name target matching relation of the water network data of different measuring scale versions can be built accurately and efficiently.

Description

technical field [0001] The invention belongs to the field of spatial data integration, and in particular relates to a novel method for matching objects with the same name among cross-scale vector map water network data. Background technique [0002] Spatial data integration (spatial data integration) refers to the matching, transformation and consistency processing of spatial data from different sources, eliminating the differences in spatial characteristics, attribute characteristics, scale characteristics and time characteristics, and satisfying the requirements from different angles and different perspectives. Viewpoints, cognition and analysis requirements for spatial objects and geographical phenomena at different scales, and obtain information content at different levels and resolutions, so as to achieve interoperability between heterogeneous data. In recent years, with the rapid development of computing resources and Internet technology, a large number of infrastructu...

AI Technical Summary

Problems solved by technology

On the one hand, the existing results are mainly aimed at artificial objects such as residential areas and road networks, while for natural objects such as water networks, due to their complex geometric shapes and spatial relationships, the matching effect is not satisfactory

On the other hand, the scales of the data to be matched in the above methods are usually the same or similar, and it is not enough to match the same-named targets between cross-scale map data

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