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Proceedings Paper

Application of MAPGIS in extracting structure lines from magnetic data
Author(s): Haijun Liu; Yongping Yi; Guochuang Hu; Guoming Liu
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Paper Abstract

Magnetic data are an important way to help experts to define the boundaries of magnetic substances. A traditional method to extract structure information from magnetic data is to withdraw structure lines by hand. It was always a troublesome and tedious work and it was a waste of time to modify when necessary. Therefore it is necessary to find an efficient way to do this work. The development of computer and GIS makes it possible to process magnetic data automatically. In this paper, we firstly analyzed the physical significance of magnetic first horizontal derivative as well as the physical significance second vertical derivative. Secondly we elaborated the relationship between the structure lines and the extreme lines. Then we explained in detail how to extract extreme lines from the first horizontal derivative and how to filter the extreme lines in GIS. As an example we applied MAPGS6.7 to withdraw extreme lines from the first derivative contour diagrams of a certain place. We adopted plus-minus correlating, direction correlating and derivative correlating to filter the extreme lines and finally we mapped out the inferred structure. The ways explained in this paper make it more effective and more convenient for experts to process magnetic data. The result in this paper provides powerful reference for forecasting favorable place for prospecting.

Paper Details

Date Published: 20 August 2010
PDF: 7 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782030 (20 August 2010); doi: 10.1117/12.866732
Show Author Affiliations
Haijun Liu, Liaoning Shihua Univ. (China)
China Univ. of Geosciences (China)
Yongping Yi, 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
Shaofei Wu; Zhengyu Du; Zhengyu Du; Shaofei Wu; Shaofei Wu; Zhengyu Du, Editor(s)

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