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Proceedings Paper

Application of filtering techniques in preprocessing magnetic data
Author(s): Haijun Liu; Yongping Yi; Hongxia Yang; Guochuang Hu; Guoming Liu
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Paper Abstract

High precision magnetic exploration is a popular geophysical technique for its simplicity and its effectiveness. The explanation in high precision magnetic exploration is always a difficulty because of the existence of noise and disturbance factors, so it is necessary to find an effective preprocessing method to get rid of the affection of interference factors before further processing. The common way to do this work is by filtering. There are many kinds of filtering methods. In this paper we introduced in detail three popular kinds of filtering techniques including regularized filtering technique, sliding averages filtering technique, compensation smoothing filtering technique. Then we designed the work flow of filtering program based on these techniques and realized it with the help of DELPHI. To check it we applied it to preprocess magnetic data of a certain place in China. Comparing the initial contour map with the filtered contour map, we can see clearly the perfect effect our program. The contour map processed by our program is very smooth and the high frequency parts of data are disappeared. After filtering, we separated useful signals and noisy signals, minor anomaly and major anomaly, local anomaly and regional anomaly. It made us easily to focus on the useful information. Our program can be used to preprocess magnetic data. The results showed the effectiveness of our program.

Paper Details

Date Published: 20 August 2010
PDF: 6 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78201S (20 August 2010); doi: 10.1117/12.866729
Show Author Affiliations
Haijun Liu, Liaoning Shihua Univ. (China)
China Univ. of Geosciences (China)
Yongping Yi, China Univ. of Geosciences (China)
Hongxia Yang, China Univ. of Geosciences (China)
Guochuang Hu, The No. 1 Geological Exploration Institute of Henan Province (China)
Guoming Liu, The No. 1 Geological Exploration Institute of Henan Province (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering

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