Advancements in underground object detection: Exploring emerging techniques and technologies

Fatah, Sara Yehia Abdel, Taher, Fatma, Attya, Mohamed Khaled Gad, Hosni, Karim Ahmed, Alathbah, Moath, Alghamdi, Thamer, Sree, Mohamed Fathy Abo and M, M. Abdel-Aleim 2024. Advancements in underground object detection: Exploring emerging techniques and technologies. Presented at: 2024 International Telecommunications Conference (ITC-Egypt), Cairo, Egypt, 22-25 July 2024. Proceedings 2024 International Telecommunications Conference (ITC-Egypt). IEEE, pp. 852-857. 10.1109/ITC-Egypt61547.2024.10620483

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Abstract

In order to better understand the significance of subterranean item detection in a variety of fields, including military operations, construction, archaeology, and utility management, this study looks at recent advancements in this field. Ground Penetrating Radar (GPR), Electromagnetic Induction (EMI), Magnetic Methods, Seismic Techniques, Acoustic Methods, Thermal Imaging, Electrical Resistivity Tomography (ERT), and Remote Sensing are just a few of the cutting-edge techniques covered in this overview, along with their principles, uses, advantages, and disadvantages. The importance of these developments is highlighted in terms of improving the efficiency, accuracy, and security of subterranean exploration and administration. The article highlights current research and development initiatives to improve subterranean item identification, provide deeper understanding of subsurface environments, and support well-informed decision-making in a range of businesses. Using a Patch Antenna to detect Iron beneath the earth's surface as an application for detecting Iron inside explosive materials or finding meteorites that have settled underground for several years that contain Iron elements which is essential in Industry. This paper will discuss the developed methods used in underground exploration.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	IEEE
Last Modified:	16 Sep 2024 13:11
URI:	https://orca.cardiff.ac.uk/id/eprint/171883

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