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SEPARATION GEOCHEMICAL ANOMALY FROM BACKGROUND BY FRACTAL FILTERING METHOD

A. Daya, H. Hassani, F. Alinia

First published: 2009DOI pendingView metrics

Abstract

Anomaly separation plays an important role in mineral exploration. The fractal based method presented in this study provides an anomaly separation method which accomplishes anomaly separation in frequency domain. It is based on the Fourier transformation, which can be compared to a glass prism. The prism separates light into various components, each depending on its wavelength (or frequency) content. Fourier transform can be viewed as a "mathematical prism" that separates a function into various components based on frequency content. The fractal filtering technique is able to separate the anomaly from background or extract the other meaningful patterns from the geochemical map using both the frequency and spatial information. A power spectrum-area plot has been applied to separation of patterns based on distinct self-similarity in frequency domain. This method can decompose the geochemical patterns into anomalies and background. This paper briefly introduces the theory of the fractal filtering technique. A case study of 107 regional geochemical data of stream sediment from the western Iran, Kurdistan, Shurab Haji will be used to illustrate application of this technique.

Publication details

Title
SEPARATION GEOCHEMICAL ANOMALY FROM BACKGROUND BY FRACTAL FILTERING METHOD
Authors
A. Daya, H. Hassani, F. Alinia
Proceedings
9th International Multidisciplinary Scientific GeoConference SGEM2009
Publisher
SGEM Scientific GeoConference
Year
2009
Pages
473-480
ISSN
1314-2704
ISBN
954-91818-1-2
Language
en
Publication type
Conference Paper
Keywords
Fourier transformFractal FilterGeochemical anomalyPower spectrumarea method
References7

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  2. Cheng, Q., Agterberg, F.P., Ballantyne, S.B., 1994. The separation of geochemical anomalies from background by fractal methods. J. Geochem. Explor. 51, 109-130.

  3. Cheng, Q., 1999. Spatial and scaling modeling for geochemical anomaly separation. Journal of Geochemical exploration, 65, 3, 175-194.

  4. Cheng, Q., Xu, Y. and Grunsky, E., 2000. Intergrated spatial and spectrum method for geochemical anomaly separation. Nature Resources Research, 9, 1, 43-56.

  5. Grunsky, E., 1997. Numerical techniques and strategies for the interpretion of geochemical data. In: Current Topics in GIS and Integration of Exploration Datasets Short Course Notes, Exploration 97 Workshop, Ottawa, 147pp.

  6. Sinclair, AJ., 1976. Application of probability graphs in mineral exploration. Assoc. Explor. Geochem. 4, 95 (special volume).

  7. Xu, Y., Cheng, Q., 2001. A fractal filtering technique for processing regional geochemical maps for mineral exploration. Geochemistry. Exploration Environment Analysis 1, 147-156.

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