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A Tensor-Based Adaptive Rank Truncation Method for Seismic Data Compression

A compression method and seismic data technology, applied in seismic signal processing, etc., can solve the problems of not being able to predict the data in advance and produce better compression effects, so as to ensure the compression rate, simplify the data compression work, and improve the peak signal-to-noise ratio Effect

Active Publication Date: 2018-05-29
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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  • A Tensor-Based Adaptive Rank Truncation Method for Seismic Data Compression
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  • A Tensor-Based Adaptive Rank Truncation Method for Seismic Data Compression

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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 a seismic data compression method based on tensor adaptive rank truncation. The truncation rank is set according to the given compression conditions and the singular values ​​of different dimensions obtained through high-order singular value decomposition immediately, and the truncation is determined according to the distribution of the singular values. The rank size is used for tensor decomposition; while ensuring the compression rate, the peak signal-to-noise ratio of compression is improved, and the compression effect is improved; the present invention reduces artificial adjustment parameters in the compression process by designing a process of tensor decomposition based on adaptive rank truncation, and simplifies Data compression work; the present invention sets the size of the truncated rank based on the singular value distribution, and aims at the characteristics of data anisotropy, introduces the standard deviation of the singular value to calculate the weight of the corresponding truncated rank of the dimension, and improves the peak-to-noise ratio after compression. Improve data compression.

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 Patents(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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