Skip to main content
Log in

Maximum likelihood (ML) estimation of depth from the spectrum of aeromagnetic fields

  • Published:
pure and applied geophysics Aims and scope Submit manuscript

Summary

Starting from the assumption that the aeromagnetic field is a Gaussian random function the probability density function of log-radial spectrum is shown to be a slightly asymmetric non-Gaussian function, [2q/2 Γ(q/2)]−1 q(q/2)−1 exp(q/2(r-exp(r))). The depth to magnetic layer is determined by maximum likelihood (ML) technique and is compared with the least square (LS) estimate. The difference between the two is only marginal, about 15%. The least square estimate is lower than the maximum likelihood estimate.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. P. S. Naidu,Spectrum of the potential field due to randomly distributed sources, Geophys.33 (1968), 337–345.

    Google Scholar 

  2. P. S. Naidu,Fourier transform of large scale aeromagnetic field using a modified version of fast Fourier transform, Pure and Applied Geophysics (1970) (in press).

  3. V. S. Pugachev,Theory of random functions and its application to control problems (Pergamon Press, 1965).

  4. A. Spector andF. S. Grant,Statistical models for interpreting aeromagnetic data, Geophys.35 (1970), 293–303.

    Google Scholar 

  5. H. L. Van Trees,Detection, estimation and modulation theory (John Wiley and Sons Inc., 1968).

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Naidu, P.S. Maximum likelihood (ML) estimation of depth from the spectrum of aeromagnetic fields. PAGEOPH 95, 141–149 (1972). https://doi.org/10.1007/BF00878862

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00878862

Keywords

Navigation