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 inability to obtain complete and accurate abnormal boundary positions, insensitive directional information, etc.

Active Publication Date: 2008-09-03
INST OF MINERAL RESOURCES CHINESE ACAD OF GEOLOGICAL SCI
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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, m...

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  • 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

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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...

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Abstract

The invention is a multi-field direction multi-scale edge detection method, which is technique that can carry out quickly inversion for three-dimensional structure of shallow crust based on field data. The invention realizes the calculation of the modulus and angle of wavelet transform after the rotation of coordinate system through directional wavelet transform, thus realizes serving the connection of modulus maximum points of wavelet transform along the vertical direction of gradient vector as the multi-scale edge of the field. The invention overcomes the weak point that the it is insensitive to directional information in the method such as signal analysis method, Euler deconvolution method, level derivative method, field multi-scale edge detection method, etc., can quickly obtains complete and accurate abnormal location of the border of geophysical field in various depths, thus generates a more accurate three-dimensional structure for 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...

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Application Information

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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
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