Ynr Görüntülerinde SeyreklIk Gösterilimleri Ile Kargaşa Giderme

Eyyup Temlioglu; Isin Erer

doi:10.1109/SIU.2015.7130314

Ynr Görüntülerinde SeyreklIk Gösterilimleri Ile Kargaşa Giderme

Eyyup Temlioglu, Isin Erer

Elektronik ve Hab.Müh.Bölümü

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

5 Atıf (Scopus)

Özet

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.

Tercüme edilen katkı başlığı	Sparse representations based clutter removal in GPR images
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	2210-2213
Sayfa sayısı	4
ISBN (Elektronik)	9781467373869
DOI'lar	https://doi.org/10.1109/SIU.2015.7130314
Yayın durumu	Yayınlandı - 19 Haz 2015
Etkinlik	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Süre: 16 May 2015 → 19 May 2015

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Ülke/Bölge	Turkey
Şehir	Malatya
Periyot	16/05/15 → 19/05/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

Keywords

Clutter reduction
Gpr
Morphological component analysis
Sparse

Belgeye Erişim

10.1109/SIU.2015.7130314

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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). Makale 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",

month = jun,

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.",

pages = "2210--2213",

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

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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).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

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

UR - http://www.scopus.com/inward/record.url?scp=84939134012&partnerID=8YFLogxK

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap