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Earthquake data compression method based on tensor adaptive rank truncation

A technology of seismic data and compression method, applied in seismic signal processing and other directions, can solve the problems of unable to produce better compression effect, unable to predict data in advance, etc., to simplify data compression work, ensure compression rate, and reduce the effect of artificial adjustment parameters

Active Publication Date: 2017-05-10
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, in the actual compression process, the characteristics of the data cannot be predicted in advance, so the tensor decomposition based on the predefined truncated rank size cannot produce a good compression effect, and it is necessary to manually adjust the compression parameters (truncated rank size)

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  • Earthquake data compression method based on tensor adaptive rank truncation
  • Earthquake data compression method based on tensor adaptive rank truncation
  • Earthquake data compression method based on tensor adaptive rank truncation

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Embodiment Construction

[0042] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0043] The present invention passes such as figure 2 The shown tensor decomposition scheme based on adaptive rank truncation, specifically includes:

[0044] S1. Perform block processing on the original 3D seismic data, and use the block data as the input original tensor; the block usually selects a cube whose side length is an integer power of 2. The different dimensions of three-dimensional data actually refer to length, width and height, and dimensions are nouns described by mathematics.

[0045] S2. Each original tensor input in step S1 is expanded into a two-dimensional matrix along three dimensions, and the three expanded two-dimensional matrices are decomposed by singular value to obtain a factor matrix composed of three groups of differ...

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Abstract

The invention discloses an earthquake data compression method based on tensor adaptive rank truncation. According to the method, based on given compression conditions and a different-dimension singular value setting truncation rank acquired through instant higher-order singular value decomposition, tensor decomposition is carried out further according to singular value distribution determination truncation rank magnitude; on the condition that a compression rate is guaranteed, a compression peak value signal to noise ratio is improved, and the compression effect is improved; through designing the tensor decomposition flow based on adaptive rank truncation, manual parameter regulation and control in the compression process can be reduced, and data compression work is simplified. On the basis of the singular value distribution setting truncation rank magnitude, data anisotropy characteristics are utilized, a singular value standard deviation is introduced to calculate weight of a truncation rank corresponding to different dimensions, the compression peak value signal to noise ratio is improved, and the data compression effect is further improved.

Description

technical field [0001] The invention belongs to the technical field of seismic data processing, and in particular relates to a method for compressing seismic data. Background technique [0002] With the development of technical hardware, the scale of acquired seismic data is increasing day by day. The characteristics of seismic data have also changed from low-dimensional and single-attribute to high-latitude and multi-attribute. Huge seismic data not only consumes a lot of storage space, but also brings great difficulties to data processing and visualization. Therefore, it is urgent to propose and apply efficient data compression technology. A lossy compression technique with a high compression ratio is usually used for huge seismic data. [0003] Existing data compression technology is mainly based on domain transformation and coding compression technology. Common domain transform compression techniques include Fourier transform, cosine transform, and wavelet transform ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28
CPCG01V1/28
Inventor 鲁才彭立宇胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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