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Iterative Analysis Method and Device for Local Singularity of Raster Data

A raster data and analysis method technology, applied in the field of geoscience data analysis, can solve problems such as slow calculation speed, low geoscience data processing speed, and difficulty in prospecting, and achieve the effect of accurate local singularity and improved analysis speed

Active Publication Date: 2020-04-10
CHINA UNIV OF GEOSCIENCES (WUHAN)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] However, the inventor found that in the era of big data, geological exploration data is becoming more and more abundant, and at the same time, it is becoming more and more difficult to find ore
In the face of massive geoscience data, the problem that the singularity index obtained by the existing local singularity analysis method is not accurate enough is becoming more and more prominent
At the same time, the existing geoscience data analysis methods are too slow to process massive geoscience data
The local singularity model involves the calculation of the sliding average of multiple windows of different scales, using the conventional calculation method of accumulating and summing the data in the window and then dividing it by the number of data to obtain the average value. The more the number of windows, the larger the window, the calculation slower

Method used

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  • Iterative Analysis Method and Device for Local Singularity of Raster Data
  • Iterative Analysis Method and Device for Local Singularity of Raster Data
  • Iterative Analysis Method and Device for Local Singularity of Raster Data

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no. 1 example

[0039] Please refer to image 3 A schematic diagram of the functional modules of the raster data local singularity iterative analysis device 200 provided by the preferred embodiment of the present invention. The raster data local singularity iterative analysis device 200 includes: a preset parameter module 201, a raster data input module 202, an integral image construction module 203, a local singularity calculation module 204, an iteration module 205 and a singularity analysis result output module 206 .

[0040] The preset parameter module 201 is used for preset parameters. The preset parameters include the number of preset square windows, the scale parameters of each preset square window, the normalized scale parameters of the preset square windows, iteration precision and preset times, and the like.

[0041] The raster data input module 202 is used to obtain raster data. Raster data is a data form in which space is divided into grids of equal size, uniform distribution, ...

no. 2 example

[0121] Please refer to Figure 10 , Figure 10 It is a flow chart of an iterative analysis method for local singularity of raster data provided by a preferred embodiment of the present invention. The methods include:

[0122] Step S101, preset parameters. The preset parameters include the number of preset square windows, the scale parameters of each preset square window, the normalized scale parameters of the preset square windows, iteration precision and preset times, and the like.

[0123] In the embodiment of the present invention, step S101 may be executed by the preset parameter module 201 .

[0124] Step S102, obtaining raster data.

[0125] In the embodiment of the present invention, step S102 may be executed by the raster data input module 202 . Specifically, it may be acquiring raw data; judging whether the raw data is raster format data; when the raw data is not in raster format, generating the raster data using a spatial interpolation model according to the raw...

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Abstract

The invention provides a raster data partial strangeness iterative analysis method and a device, and relates to the field of geographical data analysis. The method comprises the steps of composing an integral image corresponding to raster data; constructing a partial strangeness model according to the integral image, preset square windows which are different in multiple scales and have a same center and preset normalized scale parameters; conducting integral image composition and iterative processing of the constructed partial strangeness model on latest obtained partial coefficient raster data so as to obtain end-of-iteration partial coefficient raster data and end-of-iteration strangeness coefficient codimension raster data until the end-of-iteration strangeness coefficient codimension raster data meets a preset condition or the number of iteration reaches a preset number; outputting an iterative analysis result according to the strangeness coefficient codimension raster data and the end-of-iteration strangeness coefficient codimension raster data which is subjected to the iteration every time. According to the method, it is achieved that the partial strangeness analyzed from a large amount of geographical data is more accurate, the calculation time is shorter, and the analysis efficiency is improved.

Description

technical field [0001] The invention relates to the field of geoscience data analysis, in particular to a method and device for iterative analysis of local singularity of raster data. Background technique [0002] Geoscience data is a type of data, usually referring to data related to the position of the earth reference space (two-dimensional or three-dimensional), expressing various entities and process state attributes in earth science research. There are multiple sources of geoscience data, including geological, geophysical, geochemical, remote sensing, and geographic data. In terms of data storage format, geoscience data can be divided into two categories: vector geoscience data and raster geoscience data. Vector data format and raster data format can be converted to each other under the support of geographic information system. The analysis of geoscience data is the main way for human beings to explore and understand the earth. The distribution of geological resources...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/29
CPCG06F16/29
Inventor 陈志军
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)