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Articles

Use of machine learning techniques on airborne geophysical data for mineral resources exploration in Burkina Faso

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References

  • Bandura, L., A. D., Halpert, and Z., Zhang, 2018, Machine learning in the interpreter’s toolbox: unsupervised, supervised, and deep learning applications. SEG Expanded abstracts, 4633-4637.
  • Bournas, N, G., Plastow, Z., Han, A., Latrous, K., Mokubung, D., Pitcher., A., Touré, A., Ouédraogo and Sié Kam, 2016, Airbore geophysical survey of northeastern Burkina Faso: New insights into the mineral potential of the Birimian basement. SEG Expanded Abstracts, 2223-2227.
  • Campbell, J. B, and R. H. Wynne, 2011, Introduction to remote sensing: fifth edition, The Guilford Press, New York, USA.
  • Castaing, C., M. Billa, J.P. Milesi, D. Thieblemont, Chevremont, M. Tegyey, Y. Itard, B. Zida, I. Ouedraogo, S. Kote, B.E. Kabore, C. Ouedraogo, J.C. Ki, C. Zunino, 2003, Notice explicative de la Carte géologique et minière du Burkina Faso à 1/1 000 000.

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