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Seismic Image Dip Estimation by Multiscale Principal Component Analysis

文献类型：期刊论文

作者Wu, Shaojiang1,2; Wang, Yibo1,2
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2023
卷号61页码:10
关键词Estimation Principal component analysis Signal to noise ratio Image resolution Tensors Low-pass filters Mathematical models Approximation algorithms estimation inverse problems mathematical model reliability
ISSN号0196-2892
DOI10.1109/TGRS.2022.3229332
英文摘要Dip estimation of geological structures plays an important role in geophysical applications. Principal component analysis (PCA) is a common approach to estimating local dips by decomposing the local gradients of a seismic migration image and obtaining its principal eigenvector. However, PCA is difficult to obtain robust and high-resolution dip estimations for low signal-to-noise ratio (SNR) migration images, while multiscale schemes in digital image processing can achieve a better compromise between noise robustness and dip resolution. Therefore, we propose to adopt a multiscale PCA (MPCA) method coupled with a propagation-weight-based fusion mechanism for seismic dip estimation of low SNR migration image. MPCA consists of three steps: 1) constructing an image pyramid by repeating the low-pass filter from fine to coarse scales; 2) estimating the dip using the PCA method at each scale of the image pyramid; and 3) fusing the multiscale dip estimations using propagation weights from coarse to fine scales. We test the MPCA method on an omnidirectional dip pattern and three seismic migration images and compare with the conventional PCA and multiscale methods. The results demonstrate that MPCA yields robust and high-resolution dip estimations for low SNR seismic migration images.
资助项目National Key Research and Development Program of China[2021YFA0716800] ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research[YSBR-020]
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000917934300004
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research
源URL[http://ir.iggcas.ac.cn/handle/132A11/106813]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Wang, Yibo
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Wu, Shaojiang,Wang, Yibo. Seismic Image Dip Estimation by Multiscale Principal Component Analysis[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2023,61:10.
APA Wu, Shaojiang,&Wang, Yibo.(2023).Seismic Image Dip Estimation by Multiscale Principal Component Analysis.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,61,10.
MLA Wu, Shaojiang,et al."Seismic Image Dip Estimation by Multiscale Principal Component Analysis".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 61(2023):10.

入库方式： OAI收割

来源：地质与地球物理研究所

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