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Vectordata self-adaptation simplification method based on spatial entity view model

A vector data, self-adaptive technology, applied in special data processing applications, electrical digital data processing, instruments, etc., can solve the problems of large amount of calculation, no consideration of the spatial relationship of vector data, and the inability to simplify the lossless display, etc., to achieve spatial relationship Correct, improve transmission efficiency, improve the effect of display efficiency

Inactive Publication Date: 2010-09-01
董福田
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AI Technical Summary

Problems solved by technology

Disadvantages of this method: 1. The selection of the distance threshold D is usually based on the manual judgment of the complexity of the vector data and is selected by experience. Therefore, the distance threshold of manual experience determines the number of points retained after the vector data is simplified.
2. The biggest defect of this method is that it does not consider the spatial relationship between vector data, and cannot guarantee the correct display of the spatial relationship between all simplified vector data
3. Lossless display simplification cannot be performed according to the magnification ratio of vector data displayed on the client (the display effect before and after simplification is the same), that is, adaptive simplification cannot be achieved
4. The amount of calculation is large, the efficiency is relatively low, and it is difficult to meet the real-time simplification of large-scale vector data

Method used

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Embodiment Construction

[0034] The present invention is based on a spatial entity view model. Simply speaking, the spatial entity view model can simulate the actual view window environment, analyze and select the spatial data of the spatial entity in advance, and then only transmit the useful spatial data through the transmission medium to the actual view window. Its spatial entity view model includes at least:

[0035] 1) Data structure: raster data structure. In the model, raster data is used to represent a two-dimensional raster image, and the plane of the view window is divided into uniform grids. Each grid unit is called a pixel, and the raster data structure is a pixel. Array, each pixel in the raster is the most basic information storage unit in raster data, and its coordinate position can be determined by row number and column number. Since raster data is arranged according to certain rules, the positional relationship of entities represented is implicit in the row number and column number. E...

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Abstract

The invention provides a vectordata self-adaptation simplification method based on a spatial entity view model, which comprises the step of reading and judging the pixel value of coordinate points in a coordinate system of the view window of the model through a pixel operation module of the module so as to further judge if all original coordinate points of the vectordata need to be simplified. The invention has the advantages of enhancing the transmission efficiency and display efficiency of the vectordata, not only ensuring the correct display of the spatial relation of any simplified complex vectordata, but also ensuring the correct display of the spatial relations among all simplified vectordata.

Description

technical field [0001] The invention relates to an adaptive simplification method for vector data based on a spatial entity view model, and belongs to the fields of spatial information technology, computer graphics, virtual reality technology and computer operating systems. Background technique [0002] With the rapid development of spatial information technology, the acquired high-resolution and high-precision spatial data is growing explosively, but a series of problems need to be solved, especially the real-time processing of massive vector data of high-definition maps. One of the key ways to solve the problem of fast transmission and display is to simplify the vector data before transmission and display. At present, the most representative method for simplification of vector data is the Douglas-Peucker method. The basic idea is: connect a straight line to the first and last points of each curve, find the distance between all points and the straight line, and Find the ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 董福田
Owner 董福田
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