Welcome to International Network for Natural Sciences | INNSpub

Paper Details

Research Paper | July 1, 2016

VIEWS 1
| Download 1

Magnetic field interpretation using singular value decomposition method based on correlation coefficient of eigenimages

Ata Eshaghzadeh, Roghayeh Alsadat Kalantari

Key Words:


J. Bio. Env. Sci.9(1), 185-193, July 2016

Certification:

JBES 2016 [Generate Certificate]

Abstract

Magnetic investigations can yield important information about geological structures. Singular Value Decomposition (SVD) is a very powerful tool for analysis of the geophysical data set chiefly potential fields. In this paper, a new technique for demonstration of near-subsurface features with short wavelength using magnetic eigenvectors and eigenimage is proposed which separate the residual anomalies from magnetic map background (total magnetic field). Also, is exhibited a new method based on correlation coefficient between eigenimages for threshold determination. Using the SVD, a matrix of magnetic data set can be decomposed to a series of eigenimages. Finally, the SVD method eventuate two layers of singular value images that the layer reconstructed of threshold value to last eigenimages show local magnetic anomalies. The results obtained from the synthetic data set, with and without random noise, have been discussed. The method is demonstrated on real magnetic data set surveyed from Iran. The results show the good performance of the proposed method.

VIEWS 1

Copyright © 2016
By Authors and International Network for
Natural Sciences (INNSPUB)
http://innspub.net
This article is published under the terms of the Creative
Commons Attribution Liscense 4.0

Magnetic field interpretation using singular value decomposition method based on correlation coefficient of eigenimages

Agocs WB. 1951. Least-squares residual anomaly determination: Geophysics 16, 686–696.

Cagnoli B, Ulrych TJ. 2001. Singular value decomposition and wavy reflections in ground penetrating radar images of base surge deposits. Journal of Applied Geophysics 48, 175–182.

Eshaghzadeh A, Salehyan N. 2015. regional and residual anomalies separation from gravity field using singular value decomposition (SVD) method. AGU-SEG Workshop Abstracts, Keystone, Colorado, USA.

Fedi M, Hansen PC, Paoletti V. 2005. Analysis of depth resolution in potential-field inversion. Geophysics 70, P. A1–A11.

Freire S, Ulrych T. 1988. Application of singular value decomposition to vertical seismic profiling. Geophysics 53, 778–785.

Glifford GD. 2005. Singular value decomposition independent component analysis for blind source separation. HST582J/6.555 J/16.456 J, Biomedical signal and Image Processing.

Gupta VK, Ramani N, 1980. Some aspects of regional residual separation of gravity anomalies in a Precambrian terrain: Geophysics 45, 1412–1426.

Jackson G, Mason I, Greenhalgh S. 1991. Principal component transforms of triaxial recordings by singular value decomposition. Geophysics 56, 528–533.

Li QM. 2005,GIS-based multifractal/inversion methods for feature extraction and applications in anomaly identification for mineral exploration, Ph.D. thesis, York University, Toronto, Canada 211 pp.

Li Y, Oldenburg DW. 1998. Separation of regional and residual magnetic field data. Geophysics 63, 431-439.

Lowrie W. 2007. Fundamentals of Geophysics. Cambridge University Press, New York.

Oldham CHG, Sutherland DB. 1955. Orthogonal polynomials and their use in estimating the regional effect: Geophysics 20, 295– 306.

Pawlowski RS, Hansen RO. 1990. Gravity anomaly separation by Wiener filtering: Geophysics 55, 539–548.

Pawlowski RS. 1994. Green’s equivalent-layer concept in gravity band-pass filter design: Geophysics 59, 69–76.

Rao DB, Babu NR. 1991. A rapid method for three-dimensional modeling of magnetic anomalies, Geophysics 56(2), 1729-1737.

Shib SG, Dimri VP. 2013. Interpretation of gravity data using eigenimage with Indian case study: A SVD approach, Journal of Applied Geophysics 95, 23–35.

Skeels DC. 1967. What is residual gravity?: Geophysics 32, 872–876.

Ulrych TJ, Freire SLM, Siston P. 1988. Eigenimage processing of seismic sections. S22—Seismic Sessions: Signal-to-noise Enhancement II: SEG Expanded Abstracts 7, p. 1261. http://dx.doi.org/10.1190/1.1892508.

Vrabie VD, Mars JI, Lacoume JL. 2004. Modified singular value decomposition by means of independent component analysis. Signal Processing 84, 645–652. 

Wang G, Zhang S, Yan C, Xu G, Ma M, Li K, Feng Y. 2012. Application of the multifractal singular value decomposition for delineating geophysical anomalies associated with molybdenum occurrences in the Luanchuan ore field (China). Journal of Applied Geophysics 86, 109–119.

Zhao B, Chen Y. 2011. Singular value decomposition (SVD) for extraction of gravity anomaly associated with gold mineralization in Tongshi gold field, Western Shandong Uplifted Block, Eastern China. Nonlinear Processes in Geophysics 18, 103–109.

Zurflueh EG. 1967. Application of two-dimensional linear wavelength filtering: Geophysics 32, 1015–1035.

SUBMIT MANUSCRIPT

Style Switcher

Select Layout
Chose Color
Chose Pattren
Chose Background