A robust method for the extraction of instantaneous attributes from seismic data

Ping Wang; Jinghuai Gao

doi:10.1109/IGARSS.2012.6350370

A robust method for the extraction of instantaneous attributes from seismic data

Ping Wang
, Jinghuai Gao

Faculty of Electronic and Information Engineering

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

Abstract

In this paper, a robust method for the extraction of instantaneous attributes is proposed in wavelet domain. A new class of analytic wavelets, the Generalized Morse Wavelets (GMWs), which have some desirable properties, are applied during the procedure of the proposed method. Compared to the conventional method based on Hilbert transform (HT), the new method is proved to yield higher precision and better anti-noise performance. Experimental results on synthetic signals and real seismic data show the validity of the method.

Original language	English
Pages	2703-2706
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6350370
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

CWT
Hilbert transform
Instantaneous attributes
the GMWs

Access to Document

10.1109/IGARSS.2012.6350370

Cite this

@conference{e31326ced9844a98ae05dd533649f691,

title = "A robust method for the extraction of instantaneous attributes from seismic data",

abstract = "In this paper, a robust method for the extraction of instantaneous attributes is proposed in wavelet domain. A new class of analytic wavelets, the Generalized Morse Wavelets (GMWs), which have some desirable properties, are applied during the procedure of the proposed method. Compared to the conventional method based on Hilbert transform (HT), the new method is proved to yield higher precision and better anti-noise performance. Experimental results on synthetic signals and real seismic data show the validity of the method.",

keywords = "CWT, Hilbert transform, Instantaneous attributes, the GMWs",

author = "Ping Wang and Jinghuai Gao",

year = "2012",

doi = "10.1109/IGARSS.2012.6350370",

language = "英语",

pages = "2703--2706",

note = "2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

}

TY - CONF

T1 - A robust method for the extraction of instantaneous attributes from seismic data

AU - Wang, Ping

AU - Gao, Jinghuai

PY - 2012

Y1 - 2012

N2 - In this paper, a robust method for the extraction of instantaneous attributes is proposed in wavelet domain. A new class of analytic wavelets, the Generalized Morse Wavelets (GMWs), which have some desirable properties, are applied during the procedure of the proposed method. Compared to the conventional method based on Hilbert transform (HT), the new method is proved to yield higher precision and better anti-noise performance. Experimental results on synthetic signals and real seismic data show the validity of the method.

AB - In this paper, a robust method for the extraction of instantaneous attributes is proposed in wavelet domain. A new class of analytic wavelets, the Generalized Morse Wavelets (GMWs), which have some desirable properties, are applied during the procedure of the proposed method. Compared to the conventional method based on Hilbert transform (HT), the new method is proved to yield higher precision and better anti-noise performance. Experimental results on synthetic signals and real seismic data show the validity of the method.

KW - CWT

KW - Hilbert transform

KW - Instantaneous attributes

KW - the GMWs

UR - https://www.scopus.com/pages/publications/84873146051

U2 - 10.1109/IGARSS.2012.6350370

DO - 10.1109/IGARSS.2012.6350370

M3 - 论文

AN - SCOPUS:84873146051

SP - 2703

EP - 2706

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

Y2 - 22 July 2012 through 27 July 2012

ER -

A robust method for the extraction of instantaneous attributes from seismic data

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this