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23277

Buried Object Detection Based on Multivariate Latent Methods

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Last updated: 04 Jan 2025

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Abstract

In this paper, wideband ground penetrating radar (GPR) system and a proposed frequency domain data analysis technique are presented for the detection of shallow buried objects such as anti-personal (AP) land mines. The GPR system uses one antenna for transmitting and for receiving and. it operates from 9 GHz to11 GHz. This system is able to acquire, save and analyze the data in the frequency domain. Experiments were conducted on metallic and plastic AP mines under different depths. Principal Component Analysis (PCA) has been used for processing the data. This technique is effective for the clustering of different groups. Results show that the proposed technique can successfully differentiate between metallic and plastic mines-like targets buried in dry soil.

DOI

10.21608/asat.2011.23277

Keywords

Buried object, Monitoring, Multivariate Analysis, PCA

Authors

First Name

K.

Last Name

Ghamry

MiddleName

A.

Affiliation

Egyptian Armed Forces, Cairo, Egypt.

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Orcid

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First Name

W.

Last Name

Hussein

MiddleName

M.

Affiliation

Egyptian Armed Forces, Cairo, Egypt.

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City

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Orcid

-

First Name

M.

Last Name

Hegazy

MiddleName

-

Affiliation

Egyptian Armed Forces, Cairo, Egypt.

Email

-

City

-

Orcid

-

First Name

H.

Last Name

Mahgoub

MiddleName

M.

Affiliation

Egyptian Armed Forces, Cairo, Egypt.

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-

City

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-

Volume

14

Article Issue

AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011

Related Issue

4330

Issue Date

2011-05-01

Receive Date

2019-01-01

Publish Date

2011-05-01

Page Start

1

Page End

14

Print ISSN

2090-0678

Online ISSN

2636-364X

Link

https://asat.journals.ekb.eg/article_23277.html

Detail API

https://asat.journals.ekb.eg/service?article_code=23277

Order

51

Type

Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

Buried Object Detection Based on Multivariate Latent Methods

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Article

Created At

22 Jan 2023