Estimate dip by combining gradient structure tensor and multi-window

Xiaokai Wang; Wenchao Chen; Jinghuai Gao; Yanhui Zhou; Changchun Yang; Zhenyu Zhu

doi:10.1190/segam2015-5879749.1

Estimate dip by combining gradient structure tensor and multi-window

Xiaokai Wang
, Wenchao Chen
, Jinghuai Gao
, Yanhui Zhou
, Changchun Yang
, Zhenyu Zhu

Faculty of Electronic and Information Engineering

Research output: Contribution to journal › Conference article › peer-review

6 Scopus citations

Abstract

Gradient structure tensor is extensively used in attributes extraction, such as dip, azimuth, and discontinuity detection. However, the existing faults and other discontinuous structures would affect the precision of dip/azimuth estimation. In this abstract, we propose to combine gradient structure and multi-window technology to estimate the dip and azimuth. The results of synthetic example and field-data example show the correctness and validity of our method.

Original language	English
Pages (from-to)	1722-1727
Number of pages	6
Journal	SEG Technical Program Expanded Abstracts
Volume	34
DOIs	https://doi.org/10.1190/segam2015-5879749.1
State	Published - 2015
Event	SEG New Orleans Annual Meeting, SEG 2015 - New Orleans, United States Duration: 18 Oct 2011 → 23 Oct 2011

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10.1190/segam2015-5879749.1

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title = "Estimate dip by combining gradient structure tensor and multi-window",

abstract = "Gradient structure tensor is extensively used in attributes extraction, such as dip, azimuth, and discontinuity detection. However, the existing faults and other discontinuous structures would affect the precision of dip/azimuth estimation. In this abstract, we propose to combine gradient structure and multi-window technology to estimate the dip and azimuth. The results of synthetic example and field-data example show the correctness and validity of our method.",

author = "Xiaokai Wang and Wenchao Chen and Jinghuai Gao and Yanhui Zhou and Changchun Yang and Zhenyu Zhu",

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T1 - Estimate dip by combining gradient structure tensor and multi-window

AU - Wang, Xiaokai

AU - Chen, Wenchao

AU - Gao, Jinghuai

AU - Zhou, Yanhui

AU - Yang, Changchun

AU - Zhu, Zhenyu

PY - 2015

Y1 - 2015

N2 - Gradient structure tensor is extensively used in attributes extraction, such as dip, azimuth, and discontinuity detection. However, the existing faults and other discontinuous structures would affect the precision of dip/azimuth estimation. In this abstract, we propose to combine gradient structure and multi-window technology to estimate the dip and azimuth. The results of synthetic example and field-data example show the correctness and validity of our method.

AB - Gradient structure tensor is extensively used in attributes extraction, such as dip, azimuth, and discontinuity detection. However, the existing faults and other discontinuous structures would affect the precision of dip/azimuth estimation. In this abstract, we propose to combine gradient structure and multi-window technology to estimate the dip and azimuth. The results of synthetic example and field-data example show the correctness and validity of our method.

UR - https://www.scopus.com/pages/publications/85018979903

U2 - 10.1190/segam2015-5879749.1

DO - 10.1190/segam2015-5879749.1

M3 - 会议文章

AN - SCOPUS:85018979903

SN - 1052-3812

VL - 34

SP - 1722

EP - 1727

JO - SEG Technical Program Expanded Abstracts

JF - SEG Technical Program Expanded Abstracts

T2 - SEG New Orleans Annual Meeting, SEG 2015

Y2 - 18 October 2011 through 23 October 2011

ER -

Estimate dip by combining gradient structure tensor and multi-window

Abstract

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