Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5978
Title: Surface reflection removal in compressed sensing GPR and sparse subsurface imaging
Other Titles: Sikiştirilmiş algilamali GPR i?çi?n yüzey yansimalarinin çikarilmasi ve seyrek yeralti görüntüleme
Authors: Tuncer, Mehmet Ali Çağrı
Gürbüz, Ali Cafer
Issue Date: 2011
Publisher: IEEE Computer Society
Abstract: Sparsity enhanced imaging methods for stepped-frequency continuos wave ground penetrating radars (SFCW GPRs) do not remove ground reflections. If the surface is rough and there are near surface targets, these targets can not be detected because of ground reflections. Standard methods can not be directly applicable for removing the ground reflections because of random and fewer number of measurements. In this work, a surface reflection removal method for random and fewer measurements is developed and compared with standard ground reflection methods. Simulation results show that the new method can remove ground surface reflections better than standard ground bounce methods and shallow targets can be detected with sparsity enhanced imaging methods. © 2011 IEEE.
URI: https://doi.org/10.1109/SIU.2011.5929614
https://hdl.handle.net/20.500.11851/5978
ISBN: 9781457704635
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record

CORE Recommender

Page view(s)

2
checked on Dec 26, 2022

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.