Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for checking margin of potential field polydirectionally and multiple dimensions

An edge detection, multi-scale technology, applied in image data processing, 3D modeling, instruments, etc., can solve the problems of insensitive directional information, inability to obtain complete and accurate abnormal boundary positions, etc.

Active Publication Date: 2009-11-11
INST OF MINERAL RESOURCES CHINESE ACAD OF GEOLOGICAL SCI
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the detection methods of anomaly source boundary position based on potential field data mainly include analytical signal method, Euler deconvolution method, horizontal derivative method, multi-scale edge detection method of potential field, etc. The common problem is that the directional information is not accurate enough. Sensitive, unable to obtain complete and accurate abnormal boundary position

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for checking margin of potential field polydirectionally and multiple dimensions
  • Method for checking margin of potential field polydirectionally and multiple dimensions
  • Method for checking margin of potential field polydirectionally and multiple dimensions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings.

[0029] The multi-directional and multi-scale edge detection of the potential field is performed using high-precision aeromagnetic data from the Zhongdian area in northern Yunnan, including the following specific implementation details:

[0030] 1) Data preprocessing: Firstly, the edge expansion processing of the potential field data is carried out, and the aeromagnetic data in Zhongdian area are converted into pseudogravity.

[0031] 2) According to the characteristics of aeromagnetic data in Zhongdian area, the quadratic spline function with compact support is selected as the wavelet basis.

[0032] 3) Rotate the plane Cartesian coordinate system XOY by an angle β, and in the new coordinate system X'OY', calculate the potential field data with different scales...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention is a multi-directional and multi-scale edge detection method of a potential field, and is a technology for fast inversion of a shallow three-dimensional crustal structure based on potential field data. The present invention realizes the calculation of the modulus and argument of the wavelet transform after the coordinate system is rotated by using the directional wavelet transform, thereby realizing the calculation of the modulus maximum points of the wavelet transform along the vertical direction of the gradient vector after the coordinate system rotates at different angles. A method for multiscale fringing of potential fields. The present invention overcomes the shortcomings of the analytical signal method, the Euler deconvolution method, the horizontal derivative method, the multi-scale edge detection method of the potential field, etc., which are not sensitive to directional information, and can quickly obtain the geophysical potential field at different depths. Accurate anomaly boundary position information, thereby generating a more accurate three-dimensional structure map of the shallow crust.

Description

technical field [0001] The invention relates to a multi-directional and multi-scale edge detection method of potential field, which is a technology for fast inversion of shallow three-dimensional crustal structure based on potential field data, involving wavelet analysis, image processing, geophysics and other fields, and can be directly applied to Potential field data analysis and processing system, various geological surveys (regional geology, engineering geology, environmental disaster assessment, mineral exploration), etc. Background technique [0002] At present, the detection methods of anomaly source boundary position based on potential field data mainly include analytical signal method, Euler deconvolution method, horizontal derivative method, multi-scale edge detection method of potential field, etc. The common problem is that the directional information is not accurate enough. Sensitive, can not get a complete and accurate abnormal boundary position. How to accura...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/00G06T17/50G06T5/00G06T17/05
Inventor 曹殿华王安建
Owner INST OF MINERAL RESOURCES CHINESE ACAD OF GEOLOGICAL SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products