Title :
Underground electrical profile clustering using K-MEANS algorithm
Author :
Kutbay, Ugurhan ; Ural, Ali Berkan ; Hardalac, Firat
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Gazi Univ., Ankara, Turkey
Abstract :
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.
Keywords :
electrical resistivity; geophysical techniques; geophysics computing; pattern clustering; sequences; ERT image; ERT profile clustering; Wenner sequence; current 100 mA; current 50 mA; current adjustment; electrical resistivity tomography; geophysical engineers; k-means algorithm; metal mass; underground electrical profile clustering; underground image; Biomedical measurement; Metals; RNA; ERT; Electrical Profile; K-Means; Wenner;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129886
