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A Geographical Suitability Clustering Method

A suitability and clustering technology, applied in the field of geographical suitability clustering and division, to achieve the effect of improving accuracy

Active Publication Date: 2022-03-22
POWER CHINA KUNMING ENG CORP LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing suitability grading methods rely on expert evaluation methods or the experience of technical personnel, which is subjective

Method used

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  • A Geographical Suitability Clustering Method
  • A Geographical Suitability Clustering Method
  • A Geographical Suitability Clustering Method

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Embodiment Construction

[0038] Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in further detail:

[0039] Such as image 3 As shown, the present invention has designed a kind of geographical suitability clustering division method, and in practical application, comprises the following steps:

[0040] Step A. To the comprehensive suitability score map obtained by geographical suitability analysis ( figure 1 ) using the quartile initial classification operation to obtain the suitability comprehensive score map after pixel enhancement, and enter step B;

[0041] Step B. Aiming at the comprehensive score map of suitability after pixel enhancement ( figure 2 ), randomly generate four cluster centers, and enter step C;

[0042] Step C. Perform clustering operation on the pixel points in the suitability comprehensive score map after pixel enhancement, divide each pixel point into the corresponding suitability category according to the Euclide...

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Abstract

The invention relates to a geographical suitability clustering division method, which belongs to the field of geographical suitability classification and the technical field of data mining. The technical problem to be solved by the present invention is to provide a clustering division method of geographical suitability, through the algorithm of quartile initial classification, determine the standard of clustering algorithm, make K-means clustering algorithm adaptively in four The suitability classification was performed on the basis of the quantile initial classification result plot.

Description

technical field [0001] The invention relates to a geographical suitability clustering division method, which belongs to the field of geographical suitability classification and the technical field of data mining. Background technique [0002] Geographical suitability analysis has always played a fundamental role in planning and utilization. In geographical suitability analysis, the suitability comprehensive score map obtained by merging many single-index suitability grade maps needs to be further refined. Suitability ratings. The existing suitability grading methods rely on expert evaluation or technical personnel's experience, which is subjective. The K-means clustering algorithm can divide pixels with "similar" features in a large number of data sets into a category. , and discover features of different classes. How to use the K-means clustering algorithm to perform a more accurate geographical suitability analysis becomes the research object of the present invention. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/23213
Inventor 闻平葛莹高海峰吴小东王冲鲍倩桂林陈昌黎杨文
Owner POWER CHINA KUNMING ENG CORP LTD