Noise attenuation of the geophysical data using the framelet transform

Pengliang Yang; Jinghuai Gao; Wenchao Chen

doi:10.1109/IGARSS.2012.6351035

Noise attenuation of the geophysical data using the framelet transform

Pengliang Yang
, Jinghuai Gao
, Wenchao Chen

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

This paper is on the use of the framelet transformation for noise surpression of geophysical data. The main contribution lies in the application of the transformation for geophysical data. The results of the proposed approach are compared to the use of f-x deconvolution filtering and the curvelet transformation for the same purpose on seismic data. Visually, an improvement in noise reduction is detected.

Original language	English
Pages	2300-2303
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6351035
State	Published - 2012
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012

Conference

Conference	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	22/07/12 → 27/07/12

Keywords

Framelet
denoising
geophysical data
hard thresholding
redundant frame

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10.1109/IGARSS.2012.6351035

Cite this

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title = "Noise attenuation of the geophysical data using the framelet transform",

abstract = "This paper is on the use of the framelet transformation for noise surpression of geophysical data. The main contribution lies in the application of the transformation for geophysical data. The results of the proposed approach are compared to the use of f-x deconvolution filtering and the curvelet transformation for the same purpose on seismic data. Visually, an improvement in noise reduction is detected.",

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AU - Yang, Pengliang

AU - Gao, Jinghuai

AU - Chen, Wenchao

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AB - This paper is on the use of the framelet transformation for noise surpression of geophysical data. The main contribution lies in the application of the transformation for geophysical data. The results of the proposed approach are compared to the use of f-x deconvolution filtering and the curvelet transformation for the same purpose on seismic data. Visually, an improvement in noise reduction is detected.

KW - Framelet

KW - denoising

KW - geophysical data

KW - hard thresholding

KW - redundant frame

UR - https://www.scopus.com/pages/publications/84873147944

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DO - 10.1109/IGARSS.2012.6351035

M3 - 论文

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T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

Noise attenuation of the geophysical data using the framelet transform

Abstract

Conference

Keywords

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