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

Translated title of the contribution: Multi scale bilateral filter enhanced ISAR Target Recognition

Haldun Bozkurt, Isin Erer

Department of Electronics and Communication Engineering

Istanbul Technical University

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

5 Citations (Scopus)

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.

Translated title of the contribution	Multi scale bilateral filter enhanced ISAR Target Recognition
Original language	Turkish
Title of host publication	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1993-1996
Number of pages	4
ISBN (Electronic)	9781509016792
DOIs	https://doi.org/10.1109/SIU.2016.7496159
Publication status	Published - 20 Jun 2016
Event	24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Turkey Duration: 16 May 2016 → 19 May 2016

Publication series

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

Conference

Conference	24th Signal Processing and Communication Application Conference, SIU 2016
Country/Territory	Turkey
City	Zonguldak
Period	16/05/16 → 19/05/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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10.1109/SIU.2016.7496159

Cite this

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). Article 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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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",

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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).

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

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AU - Erer, Isin

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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.

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KW - Denoising

KW - ISAR

KW - Image Classification

KW - Image Processing

KW - Target Classification

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M3 - Konferans katkısı

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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

Abstract

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