Underground Electrical Profile Clustering Using K-MEANS Algorithm


KUTBAY U. , URAL A. B. , HARDALAÇ F.

23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Türkiye, 16 - 19 Mayıs 2015, ss.561-564 identifier identifier

  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2015.7129886
  • Basıldığı Şehir: Malatya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.561-564

Özet

In this study, ERT (Electrical Resistivity Tomography) profile clustering was aimed with using K-Means algorithm. For the Wenner sequence, at the end of the 84 measurement from 7 layers, underground image was obtained by using maximum 50 and 100 mA current adjustment. After this study, the metal mass which was buried under the ground was detected via k-Means algorithm. The best ERT image was obtained at 100 mA value. In addition, clustering process was done to help geophysical engineers to analyse easily.