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

页码：561 / 564

页数：4

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