A fast deviation correction method and system for vector map

Abstract

The present invention provides a method and system for quickly correcting a vector map, wherein the method includes the following steps: Step 1: extracting an error connection line and a correction area, and the error connection line is the same ground object between the data to be corrected and the reference data ; Step 2: Spatial clustering of error lines; Step 3: Construct error homogeneous area; Step 4: Correction of vector electronic map based on error homogeneous area. Compared with the prior art, the present invention can realize fast data correction by correcting the vector map based on the homogeneous area. Compared with the mainstream GIS software, it has the advantages of large correction area, fast speed and ideal effect. The present invention also correspondingly provides a system for realizing the rapid deviation correction of the above-mentioned vector map.

Description

technical field [0001] The invention relates to a deviation correction method, in particular to a fast deviation correction method applied to vector maps; the invention also provides a deviation correction system for realizing the above method. Background technique [0002] With the continuous promotion and application of GIS in various industries, GIS platforms based on specific industry applications continue to emerge. The quality of vector electronic map data, which is the basis of industry applications, directly affects the feelings of upper-level industry application personnel. Especially in electric power and other industries, thematic data such as power grids are often plotted based on vector electronic map data, and the spatial accuracy and detail of ground objects of vector electronic maps often affect the spatial accuracy of thematic data. At the same time, most vector electronic map manufacturers have not strictly established a unified control network during the ...

AI Technical Summary

Problems solved by technology

[0004] ① Data block: Conventional GIS software has a certain amount of data limit for data deviation correction. If the upper limit of data is exceeded, the deviation correction result cannot be obtained

[0007] ④ Data correction based on manual visual discrimination: due to the limitations of the above-mentioned correction algorithm, the correction results are often not ideal, and in most cases manual follow-up correction is required

[0012] 1. Unable to process large-scale vector data at the same time, reducing work efficiency

Large-scale data processing needs to be processed in blocks, and subsequent work such as data merging and edge topology correction should be performed. The steps are complicated and require a lot of manual intervention, which reduces work efficiency.

[0013] 2. The existing deviation correction algorithm is not very applicable, and the deviation correction effect is not ideal

[0016] For rubber band transformation, this correction method often involves fine-tuning of local deformation, and data deformation often occurs when used in a large scale

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