Digital filters applications on aeromagnetic data for identification of hidden objects

Abstract

The hidden objects are located, as sixteen objects (anomalies) on the reduction to magnetic pole data (RTP). The follow-up and identification of these objects by applying several digital filters, as upwarding continuation at different level, then the horizontal derivative (HD) and vertical derivative (VD). Accordingly, the edge detection filter techniques are dependent on the tilt derivative (horizontal, vertical derivatives) and the tilt angle. This study shows closing to the basic dykes (shallow anomalies) that imprinted in the RTP map and the upward continuation maps at shallow levels. The residual features are mostly starting to disappear gradually in the upward continuation maps at intermediate and deeper levels. The last upwarding maps illustrate the penetrated roots of these bodies to deep levels (deep anomalies). The advanced filter technique of edge detection is the enhanced total horizontal derivative of the tilt angle (ETHDR). This study delineates and compares the hidden objects by applying the different filter techniques, as the analytical signal (AS), first vertical derivative (FVD), total horizontal derivative (THDR), tilt angle (TA), horizontal tilt angle (TDX), and ETHDR. The applied derivative-based filters, as ETHDR, produce more detailed results for the shallower and deeper magnetized structures. The compared filter results such as TA, TDX, and ETHDR give sharp edges of the magnetized sources (hidden objects). Quantitatively, the determined depths have been evaluated, using the 2D modeling algorithm. The depths and relief of the basement surface across eight profiles are defined, and the depths and shapes of the hidden objects are outlined. Meanwhile, magnetic susceptibility contrasts of the hidden objects are varied with different expanding shapes and subsurface depths.

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References

  1. Abdelrahman EM, Abo-Ezz ER, Essa KS, El-Araby TM, Soliman KS (2007) A new least-squares minimization approach to depth and shape determination from magnetic data. Geophys Prospect 55:433–446

    Article  Google Scholar 

  2. Abdelrahman EM, Abo-Ezz ER, Essa KS (2012) Parametric inversion of residual magnetic anomalies due to simple geometric bodies. Explor Geophys 43:178–189

    Article  Google Scholar 

  3. Abo-Ezz ER, Essa KS (2016) A least-squares minimization approach for model parameters estimate by using a new magnetic anomaly formula. Pure Appl Geophys 173:1265–1278

    Article  Google Scholar 

  4. Aero-Service (1984) The Egyptian general petroleum corporation. Final operational report of airborne magnetic/radiation survey in the Eastern Desert, Egypt for the Egyptian General Petroleum Corporation. Aero-Service, Houston, Texas, 6, April, 250 p

  5. Arisoy MZ, Dikmen U (2013) Edge detection of magnetic sources using enhanced Total horizontal derivative of the tilt. Bulletin of the Earth Sciences Application and Research Centre of Hacettepe University, Yerbilimleri 3(4):73–82

    Google Scholar 

  6. Asadi H, Hale M (2001) A predictive GIS model for mapping potential gold and base metal mineralization in Takab area, Iran. Comput Geosci 27(8):901–912

    Article  Google Scholar 

  7. Baranov V (1957) A new method for interpretation of aeromagnetic maps, Pseudogravimetric anomalies. Geophysics 22:359–383

    Article  Google Scholar 

  8. Baranov V (1975) Potential field data and their transformation in applied geophysics. Geoexploration Monograph; Series 1–6, Gebruder Borntaeger, Berlin– Stuttgart, Germany

  9. Baranov V, Naudy H (1964) Numerical calculation of the formula of reduction to the magnetic pole. Geophysics 29:67–79

    Article  Google Scholar 

  10. Bhattacharyya K (1965) Two–dimensional harmonic analysis as a tool for magnetic interpretation. Geophysics 30:829–857

    Article  Google Scholar 

  11. Bhattacharyya K (1967) Reduction filters for digital processing of potential field data. Geophysics 31:712–726

    Google Scholar 

  12. Billings D, Newsam N (2002) Fourier filtering of continuous global surfaces. IEEE, Digital Signal Processing, 14th International Conference, Cat. No.02TH8628

  13. Clark DA, Emerson DW (1991) Notes on rock magnetization characteristics in applied geophysical studies. Explor Geophys 22:547–555

    Article  Google Scholar 

  14. Clarke KG (1969) Optimum second-derivative and downward continuation filters. Geophysics 34:424–437

    Article  Google Scholar 

  15. Cooper GJ (2009) Balancing images of potential-field data. Geophysics 74(3):L17–L20

    Article  Google Scholar 

  16. Cooper GJ, Cowan DR (2006) Enhancing potential field data using filters based on the local phase. Comput Geosci 32(10):1585–1591

    Article  Google Scholar 

  17. Cooper GJ, Cowan DR (2008) Edge enhancement of potential-field data using normalized statistics. Geophysics 73(3):H1–H4

    Article  Google Scholar 

  18. Cordell L, Grauch VJS (1985) Mapping basement magnetization zones from aeromagnetic data in the San Juan basin, New Mexico. In: Hinzc WJ (ed) The utility of regional gravity and magnetic anomaly maps, Soc. Expl. Geophys, pp 181–197

  19. Deng Y, Chen Y, Wang P, Essa KS, Xub T, Liang X, Badal J (2016) Magmatic underplating beneath the Emeishan large igneous province (South China) revealed by the COMGRA-ELIP experiment. Tectonophysics 672-673:16–23

    Article  Google Scholar 

  20. EGSMA (2009) Geologic map of Wadi Al Barramiyah, Central Eastern Desert 1: 250,000, 2009

  21. El khodary ST, Youssef MAS (2013) Integrated potential field study on the subsurface structural characterization of the area north Bahariya oasis, Western Desert, Egypt. Arab J Geosci 6(9):3185–3200

    Article  Google Scholar 

  22. El Sirafe AM (1986) Application of aeromagnetic, aeroradiometric and gravimetric survey data in the interpretation of the geology of Cairo Bahariya area, north western desert, Egypt. Ph. D. Thesis, Ain Shams Univ

  23. Essa KS, Elhussein M (2017) A new approach for the interpretation of magnetic data by a 2-D dipping dike. J Appl Geophys 136:431–443

    Article  Google Scholar 

  24. Essa KS, Elhussein M (2019) Magnetic interpretation utilizing a new inverse algorithm for assessing the parameters of buried inclined dike-like geologic structure. Acta Geophys 67:533–544

    Article  Google Scholar 

  25. Essa KS, Nady AG, Mostafa MS, Elhussein M (2018) Implementation of potential field data to depict the structural lineaments of the Sinai peninsula, Egypt. J Afr Earth Sci 147:43–53

    Article  Google Scholar 

  26. Jacobsen HB (1987) A case for Upwarding continuation as a standard separation filter for potential field maps. Geophysics 52:1138–1148

    Article  Google Scholar 

  27. Juneja M, Sandhu P (2009) Performance evaluation of edge detection techniques for images in spatial domain. Int J Comput Theory Eng 1(5):1793–8201

    Google Scholar 

  28. Karimi K, Shirzaditabar F (2017) Using the ratio of the magnetic field to the analytic signal of the magnetic gradient tensor in determining the position of simple shaped magnetic anomalies. J Geophys Eng 14:769–779

    Article  Google Scholar 

  29. Marson I, Klingele EE (1993) Advantages of using the vertical gradient of gravity for 3-D interpretation. Geophysics 58:1588–1595

    Article  Google Scholar 

  30. Mehanee SA, Essa KS (2015) 2.5D regularized inversion for the interpretation of residual gravity data by a dipping thin sheet: numerical examples and case studies with an insight on sensitivity and non-uniqueness. Earth Planets Space 67:130

    Article  Google Scholar 

  31. Mehanee S, Essa KS, Smith P (2011) A rapid technique for estimating the depth and width of a two-dimensional plate from self-potential data. J Geophys Eng 8:447–456

    Article  Google Scholar 

  32. Mekonnen TK (2004) Interpretation and Geodatabase of Dukes using Aeromagnetic data of Zimbabwe and Mozambique. M. Sc. Thesis, International Institute for Geoinformation science and Earth Observation, Enschede, the Netherlands. Retrieved from http://www.slideserve.com/phila/partner

  33. Miller HG, Singh V (1994) Potential field tilt a new concept for location of potential filed sources. J Appl Geophys 32:213–217

    Article  Google Scholar 

  34. Nigm AA, El khodary ST, Elgendi NH, Abdelwahab FM (2015) Mapping the subsurface structural features of Al-Laqitah area, central Eastern Desert of Egypt using aeromagnetic data. Arab J. Geoscience 8:3537–3549

    Google Scholar 

  35. Oasis Montaj package V.7.1 (2010) Geosoft mapping and processing system. Johannesburg, p 17

  36. Oliveiraa S, Ferreirab F, Souzac J (2017) Edge detect PFI: an algorithm for automatic edge detection in potential field anomaly images – application to dike-like magnetic structures. Comput Geosci 103:80–91

    Article  Google Scholar 

  37. Pawlowski RS (1995) Preferential continuation for potential field anomaly enhancement. Geophysics 60:390–398

    Article  Google Scholar 

  38. Pilkington M, Keating P (2004) Contact mapping from gridded magnetic data –a comparison of techniques. Explor Geophys 35:206–311

    Article  Google Scholar 

  39. Wijns CCP, Kowalczyk P (2005) Theta map: edge detection in magnetic data. Geophysics 70:L39–L43

    Article  Google Scholar 

  40. Wong BY, Laughlin DE (1998) Determination of basic magnetic unit size in CoCrTa/Cr magnetic disk media. IEEE Trans Magn 34(1):293–298

    Article  Google Scholar 

  41. Yaoguo L, Sarah GR, Devriese A (2013) Enhancement of magnetic data by stable downward continuation for UXO application. IEEE Trans Geosci Remote Sens Soc 51(6):3605–3614

    Article  Google Scholar 

Download references

Acknowledgments

Authors would like to thank Prof. L. Wong and Prof. R. Ulusay, co-editor-in-chief, and the two anonymous expert reviewers for their keen interest and constructive comments for improving this manuscript.

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Correspondence to M. F. El-Deery.

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Fkirin, M.A., Youssef, M.A.S. & El-Deery, M.F. Digital filters applications on aeromagnetic data for identification of hidden objects. Bull Eng Geol Environ 80, 2845–2858 (2021). https://doi.org/10.1007/s10064-020-02067-4

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Keywords

  • Anomalies
  • TDX
  • ETHDR
  • Magnetic modeling