Underground Electrical Profile Clustering Using K-MEANS Algorithm

被引：0
|
作者：
Kutbay, Ugurhan [1 ]
Ural, Ali Berkan [1 ]
Hardalac, Firat [1 ]
机构：
[1] Gazi Univ, Elekt & Elekt Muhendisligi Bolumu, Ankara, Turkey
来源：
2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2015年
关键词：
Wenner; ERT; Electrical Profile; K-Means; GROUND-PENETRATING RADAR; RESISTIVITY TOMOGRAPHY;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：561 / 564
页数：4
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