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Double-weight spatial interpolation method

A spatial interpolation and interpolation technology, applied in image data processing, special data processing applications, 3D modeling, etc., can solve the problems of simulated landform distortion, large influence range, ignoring the sudden change of interpolation attributes, etc., to reduce adverse effects and improve accuracy. Improve and optimize the effect of interpolation methods

Pending Publication Date: 2020-10-30
CHUZHOU UNIV
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Problems solved by technology

Most of these methods involve interpolation with distance as the weight, such as inverse distance weighting method, gradient distance inverse ratio method, and ordinary kriging method. Although the correlation of the plane distribution of sampling points is well utilized, the interpolation attribute is ignored. The sudden change in a small range leads to a large range of influence of individual sampling interpolation attribute mutation points, such as depressions in natural terrain, buildings in urban terrain, etc., resulting in distortion of the simulated landform in a small area

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Embodiment Construction

[0036] This embodiment provides a dual-weight spatial interpolation method, such as figure 1 As shown, the specific steps of the method are as follows:

[0037] Step 1. Initialization:

[0038] 1.a Determine the spatial interpolation range according to the sampling point and interpolation resolution ( figure 2 ). According to the interpolation resolution l cell and the minimum x-coordinate of the sampling point x min , the maximum x-coordinate X max , minimum y coordinate y min and the maximum y coordinate y max , determine the spatial interpolation range coordinate X min 、X max , Y min and Y max ,Calculated as follows:

[0039] x min =x min -l cell / 2

[0040] x max =x max +l cell / 2

[0041] Y min =y min -l cell / 2

[0042] Y max =y max +l cell / 2

[0043] 1.b Calculate the number of rows and columns of the interpolation area grid through the range and resolution, divide the space interpolation range into several grid units, and calculate accordin...

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Abstract

The invention discloses a double-weight spatial interpolation method. The method comprises the following steps: S1, determining an interpolation resolution, a spatial interpolation range and an interpolation attribute field, and dividing grid units; s2, calculating a two-dimensional coordinate of a central point of each to-be-interpolated grid, and screening sampling points meeting an interpolation requirement quantity according to a nearest distance principle; s3, calculating a distance weight and a local spatial position interpolation attribute variation weight of the sampling point, and performing interpolation on the grid point to be interpolated by using the distance and the difference coefficient as double weights; and S4, outputting the obtained interpolation result in a grid form.According to the invention, the spatial self-similarity principle is considered based on the classical interpolation method; in combination with variation characteristics of sampling point attribute values used for interpolation in space, a quantitative expression formula of sampling point variability is designed and serves as a second weight to be applied to interpolation calculation, and the adverse effect of sampling point abnormal values on an interpolation result can be effectively weakened.

Description

technical field [0001] The invention belongs to the technical field of spatial interpolation model construction, and relates to considering distance and interpolation attribute variability of local sampling points as weight calculation factors in the process of spatial interpolation to improve the accuracy of interpolation results. Background technique [0002] Spatial interpolation is a geospatial analysis technique that calculates the value of variables corresponding to any location in a certain area based on limited sampling point data. With the help of spatial interpolation technology, a certain spatial variable can be expanded from a point to a surface to obtain the spatial distribution of the spatial variable, so it is widely used in geography, environment, ecology and other fields. Interpolation accuracy is an important factor that determines the application value of spatial interpolation technology. Therefore, many scholars discuss the accuracy characteristics of dif...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/29G06T17/05
CPCG06F16/29G06T17/05
Inventor 赵明伟居肖肖江岭王春杨灿灿徐燕
Owner CHUZHOU UNIV
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