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Combination of Local Gravimetry and Magnetic Data to Locate Subsurface Anomalies Using a Matched Filter

  • T. AbtEmail author
  • O. Huang
  • C. Jekeli
Conference paper
Part of the International Association of Geodesy Symposia book series (IAG SYMPOSIA, volume 136)

Abstract

The detection of mass anomalies in the near subsurface is an important problem in many areas of interest, such as archeology, construction, and hazard analysis. Assuming that the approximate geometry of an anomaly is known, its possible location can be determined by applying a matched filter to observations of gravity, gravity gradient, and magnetic anomalies, as well as to electro-magnetic data. We analyze the specific combination of gravity, gravity gradient, and magnetic data in order to determine their relative strengths and weaknesses in the detection problem. Poisson’s Relation is used to model the magnetic signals generated by the source to be detected, and the mutual covariances of the background geologic noise that may contaminate the observations. Simulations show that the magnetic data can improve the detection using the matched filter, especially with limited gravity gradients from a typical ground gravity gradiometer. Further analyses using actual data over a known local anomaly illustrate the enhancements as well as limitations of the gravimetry, gradiometry, and magnetic data combinations.

Keywords

Magnetic Anomaly Match Filter Gravity Gradient Background Field Gravity Disturbance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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  4. Jekeli C (2003) Statistical analysis of moving base gravimetry and gravity gradiometry. The Ohio State University, Report 446Google Scholar
  5. Jekeli C, Huang O, Abt T (2009) Local and regional comparisons of gravity and magnetic fields. In: Proceedings for the IAG 2009 Scientific Assembly “Geodesy for Planet Earth”. Springer, HeidelbergGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Division of Geodetic Science, School of Earth SciencesThe Ohio State UniversityColumbusUSA

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