Adaptive time-frequency peak filtering and de-noising method based on improved Hough transform

A technology of peak filtering and Hough transform, which is applied in the field of adaptive time-frequency peak filtering and denoising based on improved Hough transform, can solve the problems of poor flexibility and adaptability, fixed trajectory parameters and shapes, etc., to reduce errors, The calculation speed is fast and the effect of reducing the filtering deviation

Active Publication Date: 2017-08-04
JILIN UNIV
View PDF7 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides an adaptive time-frequency peak filter denoising method based on improved Hough transform to solve the problem of fixed trajectory parameters and shapes, poor flexibility and adaptability in the existing trajectory-type time-frequency peak filter method question

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
  • Adaptive time-frequency peak filtering and de-noising method based on improved Hough transform
  • Adaptive time-frequency peak filtering and de-noising method based on improved Hough transform
  • Adaptive time-frequency peak filtering and de-noising method based on improved Hough transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] Include the following steps:

[0025] Step 1: A noisy seismic record can be regarded as an image data, and the reflection event in the record is equivalent to the edge information in the image. In order to facilitate the morphological recognition of seismic data, the seismic data is firstly processed in gray scale, and the data value is converted to 0-255. The processed seismic data can be regarded as an image data; then the improved Hough transform is used to To identify the event shape in the grayscale image data, first, use the fractional Fourier transform formula in formula (1) to transform the seismic data into an intermediate domain between the time domain and the frequency domain, and rotate it to an angle pointing from the time axis to the frequency axis;

[0026]

[0027] where F α (k 1 ,k 2 )’s N×N frequencies are scattered in the [-απ,απ]×[-απ,απ] interval, given a fractional coefficient α, a series of fractional Fourier frequencies will be generated, ...

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 relates to an adaptive time-frequency peak filtering and de-noising method based on improved Hough transform, which belongs to the field of geophysical technology. A multi-layer fractional Fourier Hough approach is presented for linear event seismic record. Event envelope identification is carried out on seismic data. A filter trajectory equation similar to the trend of event is built. An optimal trajectory of time-frequency peak filtering is extracted adaptively. Thus, filter bias is fully reduced. The detection result can be obtained quickly under the condition of strong noise. The method has high accuracy and strong anti-interference ability.

Description

technical field [0001] The invention belongs to the technical field of geophysics, and in particular proposes an adaptive time-frequency peak filter denoising method based on multi-layer fractional Fourier Hough transform for seismic records containing linear events. A new type of Hough transform is used to obtain the slope of the event envelope in the seismic data, and then establish the filter trajectory equation with the slope and resample the noisy seismic data along these trajectories, the purpose of which is to make the sampled data The linearity of the effective signal in the medium is fully reduced, and finally the time-frequency peak filtering is performed on the resampled data to effectively suppress the noise, which provides a new method for the denoising processing of the seismic exploration signal and the identification of the effective signal in the seismic data. Background technique [0002] As an important means of physical exploration, seismic exploration pl...

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 Applications(China)
IPC IPC(8): G01V1/36
CPCG01V1/364G01V2210/30
Inventor 田雅男李月吴宁于朋君李默
Owner JILIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap