A method for automatically matching images and vector road intersection points

Abstract

The invention relates to the application field of geographic data registration, more specifically, to a method for automatically matching images and vector road intersection points by using the template matching and the path opening and closing operation, comprising the steps of generating road characteristic points through vector road intersection and topological structure analysis, etc.; converting the vector map into a bitmap by vector rasterization, rasterizing vector data within a certain range of road intersection, and matching the vector data with processed local image data as template;cutting the image data of corresponding area, carrying out path opening and closing operation on the image data, and generating a map to be matched; generating a pair of points with the same name through template matching; filtering the overall offset of the automatically calculated road intersection points by setting the direction and distance threshold to improve the accuracy of the calculationof the feature points of the same name. The method of the invention provides an automatic extraction method for the data production of the feature point pair of the same name between the remote sensing image data and the vector road data.

Description

technical field [0001] The invention relates to the application field of geographic data registration, more specifically, a method for automatically matching image and vector road intersections by using template matching and path opening and closing operations. Background technique [0002] With the acceleration of urbanization, road data has increasingly become one of the most closely related spatial data in human life, but the continuous construction and repair of roads makes the road data in geographic databases change all the time. However, the updating of traditional road data mainly relies on professional surveying and mapping personnel, with long measurement cycles and high costs, so that traditional surveying and mapping operations often cannot meet people's needs for the current situation of urban roads. With the continuous development of sensor technology, remote sensing image data is becoming clearer and clearer. Compared with traditional vector data, remote sensi...

AI Technical Summary

Problems solved by technology

[0003] The technical basis of using image data to perform data correction on vector data is the matching of feature points with the same name between image data and vector data. However, traditional feature points with the same name are mostly produced through manual editing, which requires a huge workload and consumes a lot of manpower and material resources. Therefore, it is particularly important to study an algorithm for automatic matching of image and vector road intersections

Images