Çoklu Çözünürlüklü Bilateral Filtre ile Iyilestirilmis Radar Hedef Tanima

Haldun Bozkurt; Isin Erer

doi:10.1109/SIU.2016.7496159

Çoklu Çözünürlüklü Bilateral Filtre ile Iyilestirilmis Radar Hedef Tanima

Haldun Bozkurt, Isin Erer

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

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

5 Atıf (Scopus)

Özet

The performance of Automatic Target Recognition (ATR) applications can be increased by enhancing ISAR images which constitute an important step in radar target classification. For this aim, bilateral filter based image decomposition is applied to ISAR images prior to classification. The range and spatial parameteres of Gaussians which constitute the bilateral filter are chosen so as to optimize the classification accuracy rate. While the optimized parameters transfer the speckle to detail bands, they locate the edge information in the residual image. The features obtained from the residual images are applied to several classifiers and the increase in the classification rate is validated for an experimental dataset.

Tercüme edilen katkı başlığı	Multi scale bilateral filter enhanced ISAR Target Recognition
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	1993-1996
Sayfa sayısı	4
ISBN (Elektronik)	9781509016792
DOI'lar	https://doi.org/10.1109/SIU.2016.7496159
Yayın durumu	Yayınlandı - 20 Haz 2016
Etkinlik	24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Turkey Süre: 16 May 2016 → 19 May 2016

Yayın serisi

Adı	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

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

???event.eventtypes.event.conference???	24th Signal Processing and Communication Application Conference, SIU 2016
Ülke/Bölge	Turkey
Şehir	Zonguldak
Periyot	16/05/16 → 19/05/16

Bibliyografik not

Publisher Copyright:
© 2016 IEEE.

Keywords

Bilateral Filters
Denoising
ISAR
Image Classification
Image Processing
Target Classification

Belgeye Erişim

10.1109/SIU.2016.7496159

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Bozkurt, H., & Erer, I. (2016). Çoklu Çözünürlüklü Bilateral Filtre ile Iyilestirilmis Radar Hedef Tanima. In 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings (pp. 1993-1996). Makale 7496159 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2016.7496159

Bozkurt, Haldun ; Erer, Isin. / Çoklu Çözünürlüklü Bilateral Filtre ile Iyilestirilmis Radar Hedef Tanima. 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1993-1996 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings).

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title = "{\c C}oklu {\c C}{\"o}z{\"u}n{\"u}rl{\"u}kl{\"u} Bilateral Filtre ile Iyilestirilmis Radar Hedef Tanima",

abstract = "The performance of Automatic Target Recognition (ATR) applications can be increased by enhancing ISAR images which constitute an important step in radar target classification. For this aim, bilateral filter based image decomposition is applied to ISAR images prior to classification. The range and spatial parameteres of Gaussians which constitute the bilateral filter are chosen so as to optimize the classification accuracy rate. While the optimized parameters transfer the speckle to detail bands, they locate the edge information in the residual image. The features obtained from the residual images are applied to several classifiers and the increase in the classification rate is validated for an experimental dataset.",

keywords = "Bilateral Filters, Denoising, ISAR, Image Classification, Image Processing, Target Classification",

author = "Haldun Bozkurt and Isin Erer",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 24th Signal Processing and Communication Application Conference, SIU 2016 ; Conference date: 16-05-2016 Through 19-05-2016",

year = "2016",

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doi = "10.1109/SIU.2016.7496159",

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series = "2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings",

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

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Bozkurt, H & Erer, I 2016, Çoklu Çözünürlüklü Bilateral Filtre ile Iyilestirilmis Radar Hedef Tanima. in 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings., 7496159, 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1993-1996, 24th Signal Processing and Communication Application Conference, SIU 2016, Zonguldak, Turkey, 16/05/16. https://doi.org/10.1109/SIU.2016.7496159

Çoklu Çözünürlüklü Bilateral Filtre ile Iyilestirilmis Radar Hedef Tanima. / Bozkurt, Haldun; Erer, Isin.
2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1993-1996 7496159 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings).

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

TY - GEN

T1 - Çoklu Çözünürlüklü Bilateral Filtre ile Iyilestirilmis Radar Hedef Tanima

AU - Bozkurt, Haldun

AU - Erer, Isin

PY - 2016/6/20

Y1 - 2016/6/20

N2 - The performance of Automatic Target Recognition (ATR) applications can be increased by enhancing ISAR images which constitute an important step in radar target classification. For this aim, bilateral filter based image decomposition is applied to ISAR images prior to classification. The range and spatial parameteres of Gaussians which constitute the bilateral filter are chosen so as to optimize the classification accuracy rate. While the optimized parameters transfer the speckle to detail bands, they locate the edge information in the residual image. The features obtained from the residual images are applied to several classifiers and the increase in the classification rate is validated for an experimental dataset.

AB - The performance of Automatic Target Recognition (ATR) applications can be increased by enhancing ISAR images which constitute an important step in radar target classification. For this aim, bilateral filter based image decomposition is applied to ISAR images prior to classification. The range and spatial parameteres of Gaussians which constitute the bilateral filter are chosen so as to optimize the classification accuracy rate. While the optimized parameters transfer the speckle to detail bands, they locate the edge information in the residual image. The features obtained from the residual images are applied to several classifiers and the increase in the classification rate is validated for an experimental dataset.

KW - Bilateral Filters

KW - Denoising

KW - ISAR

KW - Image Classification

KW - Image Processing

KW - Target Classification

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DO - 10.1109/SIU.2016.7496159

M3 - Konferans katkısı

AN - SCOPUS:84982863299

T3 - 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

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EP - 1996

BT - 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th Signal Processing and Communication Application Conference, SIU 2016

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ER -

Bozkurt H, Erer I. Çoklu Çözünürlüklü Bilateral Filtre ile Iyilestirilmis Radar Hedef Tanima. In 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1993-1996. 7496159. (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings). doi: 10.1109/SIU.2016.7496159

Çoklu Çözünürlüklü Bilateral Filtre ile Iyilestirilmis Radar Hedef Tanima

Özet

Yayın serisi

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

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

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