The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Clutter Removal Techniques in Ground Penetrating Radar for Landmine Detection: A Survey
|
|
Author(s): Deniz Kumlu (Istanbul Technical University, Turkey)and Isin Erer (Istanbul Technical University, Turkey)
Copyright: 2019
Pages: 25
Source title:
Operations Research for Military Organizations
Source Author(s)/Editor(s): Hakan Tozan (Istanbul Medipol University, Turkey)and Mumtaz Karatas (National Defense University, Turkey)
DOI: 10.4018/978-1-5225-5513-1.ch016
Purchase
|
Abstract
Ground-penetrating radar (GPR) is a popular technique for landmine detection and widely used by military organizations for landmine clearance purposes. It is well known that GPR is greatly affected by clutter during the landmine detection process. The clutter can be reasoned by soil properties, depth of the buried landmine, different surface types, and ingredient of landmine materials. Thus, the detection of landmine becomes challenging, and clutter removal algorithm must be applied prior to any landmine detection scheme in GPR. In order to remove clutter, various algorithms are proposed, and they can be mainly separated into two groups such subspace-based methods and multiresolution-based methods. This chapter focuses on the performance analysis of these clutter removal algorithms on the simulated dataset that is created by using the gprMax simulation software where it contains four different challenging scenarios.
Related Content
|
Azeem Khan, Noor Zaman Jhanjhi, Haji Abdul Hafidz B. Haji Omar, Dayang Hajah Tiawa B. Awang Haji Hamid.
© 2024.
35 pages.
|
|
Brendan Ooi Tze Wen, Najihah Syahriza, Nicholas Chan Wei Xian, Nicki Gan Wei, Tan Zheng Shen, Yap Zhe Hin, Siva Raja Sindiramutty, Teah Yi Fan Nicole.
© 2024.
39 pages.
|
|
Sidra Tahir, Anam Zaheer.
© 2024.
17 pages.
|
|
Tayyab Rehman, Noshina Tariq, Muhammad Ashraf, Mamoona Humayun.
© 2024.
24 pages.
|
|
Noshina Tariq, Tehreem Saboor, Muhammad Ashraf, Rawish Butt, Masooma Anwar, Mamoona Humayun.
© 2024.
25 pages.
|
|
Sidra Tahir.
© 2024.
15 pages.
|
|
Siva Raja Sindiramutty, Noor Zaman Jhanjhi, Chong Eng Tan, Navid Ali Khan, Bhavin Shah, Loveleen Gaur.
© 2024.
68 pages.
|
|
|