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Method and system for noise reduction of ground penetrating radar B-scan image based on EEMD and permutation entropy

A technology of scanning images and ground penetrating radar, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as poor suppression effect

Active Publication Date: 2017-12-15
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

[0004] The technical problem to be solved in the present invention is, aiming at the technical defect that the above-mentioned EMD transformation has a poor suppression effect when processing the ground penetrating radar B scan image, a method for denoising the ground penetrating radar B scan image based on EEMD and permutation entropy is provided and system

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  • Method and system for noise reduction of ground penetrating radar B-scan image based on EEMD and permutation entropy
  • Method and system for noise reduction of ground penetrating radar B-scan image based on EEMD and permutation entropy
  • Method and system for noise reduction of ground penetrating radar B-scan image based on EEMD and permutation entropy

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[0075] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0076] like figure 1 As shown, it is a flowchart of an embodiment of the noise reduction method for GPR B-scan images based on EEMD and permutation entropy of the present invention. In the denoising method of the present embodiment, comprise following steps:

[0077] S1. Obtain the ground-penetrating radar two-dimensional B-scan image signal X∈R M×N , where M is the number of channels, and N is the number of sampling points for each channel of data.

[0078] S2. Denoising is performed on each acquired B-scan image signal to obtain a noise-suppressed signal of the B-scan image signal. Wherein, the method for reconstructing any B-scan image signal includes:

[0079] S21. Perform EEMD decomposition on a B-scan image si...

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Abstract

The present invention discloses a method and a system for noise reduction of a ground penetrating radar B-scan image based on EEMD and permutation entropy. First, a ground penetrating radar two-dimensional B-scan image signal is obtained, and then each obtained B-scan image signal is subjected to noise reduction to obtain the B-scan image signal of the channel after the noise suppression signal, and finally the signal after each channel is recombined to obtain a noise-suppressed two-dimensional B-scan image signal; for any one B-scan image signal, the method for denoising includes: performing EEMD decomposition on the B-scan image signal of the channel to obtain K IMF components arranged from high frequency to low frequency; calculating arrangement entropy values of each IMF component; and selecting an arrangement entropy value not greater than a preset value IMF components to reconstruct, and obtaining the signal after denoising. The invention solves the signal mode aliasing problem existing in the EMD decomposition and can effectively reduce the noise.

Description

technical field [0001] The invention relates to the field of digital signal processing, in particular to B-scan image processing of ground-penetrating radar, specifically a noise reduction method and system for B-scan images of ground-penetrating radar based on EEMD and permutation entropy. Background technique [0002] Ground penetrating radar is an effective detection method that utilizes the discontinuity of the underground medium to detect underground targets, and is widely used in geology, resources, environment, engineering and military fields. In the actual detection process, due to the complex structure of the underground medium, the difference in physical parameters and the existence of clutter interference, the echo of the ground penetrating radar is inevitably polluted by noise, which makes the echo signal have non-stationary and nonlinear characteristics. Noise pollution causes certain difficulties to subsequent target detection and recognition, so noise suppress...

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Application Information

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IPC IPC(8): G06K9/00G06T5/00G06F17/16
CPCG06F17/16G06T2207/10044G06F2218/04G06T5/70
Inventor 薛伟朱继超余云云戴向阳罗严
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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