Ynr Görüntülerinde SeyreklIk Gösterilimleri Ile Kargaşa Giderme

Eyyup Temlioglu; Isin Erer

doi:10.1109/SIU.2015.7130314

Ynr Görüntülerinde SeyreklIk Gösterilimleri Ile Kargaşa Giderme

Translated title of the contribution: Sparse representations based clutter removal in GPR images

Eyyup Temlioglu, Isin Erer

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

In GPR system, the reflected signal is composed of three components; clutter, target signal and system noise. As system noise has less importance compared to the other components, clutter reduction methods aim to decompose the reflected signal as target signal and clutter. In this paper, target signal and clutter are modeled sparsely with appropriate dictionaries via morphological component analysis. Resulting sparse coefficients and corresponding dictionaries are used to reconstruct clutter and target components. The proposed method is applied to experimental B-scan data and it is shown that the results have higher performance compared to the widely used Singular Value Decomposition (SVD), Principal Component Analysis (PCA) and Independent Component Analysis (ICA) based clutter reduction methods.

Translated title of the contribution	Sparse representations based clutter removal in GPR images
Original language	Turkish
Title of host publication	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2210-2213
Number of pages	4
ISBN (Electronic)	9781467373869
DOIs	https://doi.org/10.1109/SIU.2015.7130314
Publication status	Published - 19 Jun 2015
Event	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Duration: 16 May 2015 → 19 May 2015

Publication series

Name	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

Conference

Conference	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Country/Territory	Turkey
City	Malatya
Period	16/05/15 → 19/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Access to Document

10.1109/SIU.2015.7130314

Cite this

Temlioglu, E., & Erer, I. (2015). Ynr Görüntülerinde SeyreklIk Gösterilimleri Ile Kargaşa Giderme. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings (pp. 2210-2213). Article 7130314 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2015.7130314

Temlioglu, Eyyup ; Erer, Isin. / Ynr Görüntülerinde SeyreklIk Gösterilimleri Ile Kargaşa Giderme. 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2210-2213 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

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title = "Ynr G{\"o}r{\"u}nt{\"u}lerinde SeyreklIk G{\"o}sterilimleri Ile Karga{\c s}a Giderme",

abstract = "In GPR system, the reflected signal is composed of three components; clutter, target signal and system noise. As system noise has less importance compared to the other components, clutter reduction methods aim to decompose the reflected signal as target signal and clutter. In this paper, target signal and clutter are modeled sparsely with appropriate dictionaries via morphological component analysis. Resulting sparse coefficients and corresponding dictionaries are used to reconstruct clutter and target components. The proposed method is applied to experimental B-scan data and it is shown that the results have higher performance compared to the widely used Singular Value Decomposition (SVD), Principal Component Analysis (PCA) and Independent Component Analysis (ICA) based clutter reduction methods.",

keywords = "Clutter reduction, Gpr, Morphological component analysis, Sparse",

author = "Eyyup Temlioglu and Isin Erer",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 ; Conference date: 16-05-2015 Through 19-05-2015",

year = "2015",

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day = "19",

doi = "10.1109/SIU.2015.7130314",

language = "T{\"u}rk{\c c}e",

series = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Temlioglu, E & Erer, I 2015, Ynr Görüntülerinde SeyreklIk Gösterilimleri Ile Kargaşa Giderme. in 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings., 7130314, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 2210-2213, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Turkey, 16/05/15. https://doi.org/10.1109/SIU.2015.7130314

Ynr Görüntülerinde SeyreklIk Gösterilimleri Ile Kargaşa Giderme. / Temlioglu, Eyyup; Erer, Isin.
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2210-2213 7130314 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Ynr Görüntülerinde SeyreklIk Gösterilimleri Ile Kargaşa Giderme

AU - Temlioglu, Eyyup

AU - Erer, Isin

PY - 2015/6/19

Y1 - 2015/6/19

N2 - In GPR system, the reflected signal is composed of three components; clutter, target signal and system noise. As system noise has less importance compared to the other components, clutter reduction methods aim to decompose the reflected signal as target signal and clutter. In this paper, target signal and clutter are modeled sparsely with appropriate dictionaries via morphological component analysis. Resulting sparse coefficients and corresponding dictionaries are used to reconstruct clutter and target components. The proposed method is applied to experimental B-scan data and it is shown that the results have higher performance compared to the widely used Singular Value Decomposition (SVD), Principal Component Analysis (PCA) and Independent Component Analysis (ICA) based clutter reduction methods.

AB - In GPR system, the reflected signal is composed of three components; clutter, target signal and system noise. As system noise has less importance compared to the other components, clutter reduction methods aim to decompose the reflected signal as target signal and clutter. In this paper, target signal and clutter are modeled sparsely with appropriate dictionaries via morphological component analysis. Resulting sparse coefficients and corresponding dictionaries are used to reconstruct clutter and target components. The proposed method is applied to experimental B-scan data and it is shown that the results have higher performance compared to the widely used Singular Value Decomposition (SVD), Principal Component Analysis (PCA) and Independent Component Analysis (ICA) based clutter reduction methods.

KW - Clutter reduction

KW - Gpr

KW - Morphological component analysis

KW - Sparse

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U2 - 10.1109/SIU.2015.7130314

DO - 10.1109/SIU.2015.7130314

M3 - Konferans katkısı

AN - SCOPUS:84939134012

T3 - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

SP - 2210

EP - 2213

BT - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015

Y2 - 16 May 2015 through 19 May 2015

ER -

Temlioglu E, Erer I. Ynr Görüntülerinde SeyreklIk Gösterilimleri Ile Kargaşa Giderme. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2210-2213. 7130314. (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). doi: 10.1109/SIU.2015.7130314

Ynr Görüntülerinde SeyreklIk Gösterilimleri Ile Kargaşa Giderme

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