Recognition System of Underground Object Shape U sing Ground Penetrating Radar Datagram

被引：0

作者：

Kanafiah, Siti Nurul Aqmariah Mohd ^{[1
]}

Kamal, Nur Diyanah Mustaffa ^{[1
]}

Firdaus, A. Z. Ahmad ^{[1
]}

Ridzuan, Mohd Jamir Mohd ^{[1
]}

Majid, M. S. Abdul ^{[1
]}

Syahirah, N. K. ^{[1
]}

Ibrahim, Ismail I. ^{[1
]}

Jusman, Yessi ^{[2
]}

Zaki, Ahmad ^{[2
]}

Isma, Mohd Azmi ^{[3
]}

rahman, Che Zuraini Che Abdul ^{[3
]}

机构：

[1] Univ Malaysia Perlis, Sch Mechatron Engn, Kampus Pauh Putra, Arau 02600, Perlis, Malaysia

[2] Univ Malaya, Fac Engn Bldg, Sch Dept Biomed Engn, Kuala Lumpur 50603, Malaysia

[3] Agensi Nukl Malaysia, Kajang 43000, Bangi, Malaysia

来源：

PROCEEDINGS 5TH IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM, COMPUTING AND ENGINEERING (ICCSCE 2015) | 2015年

关键词：

Ground penetrating radar; signal processing; shape recognition; A-scan datagram; statistical features;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Objects that have been buried underground cannot be recognized due to the opaqueness of the soil. To recognize objects that have been buried, ground penetrating radar (GPR) by the assistance of computer-aided system was used. This paper proposes the latter, which is called the Recognition System of Underground Object Shape using GPR datagram. The hyperbola from cylinder and cube metal object that had been buried in the ground is differentiated using two features of their respective A-scans. The two features are skewness and standard deviation. The percentage accuracy using Artificial Neural Network (ANN) Classification System approach was used to determine the shape of underground object. This technique was applied on 102 datagram in the form of A-scans signal using GPR. Results collected have shown very high percentage of accuracy. Therefore, it is suggested that this technique is capable to obtain shape of underground with the assistance of GPR

引用

页码：488 / 491

页数：4

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