Information preserving preprocessing for improved radar target classification accuracy

H. Bozkurt; I. Erer

doi:10.1109/RAST.2017.8003014

Information preserving preprocessing for improved radar target classification accuracy

H. Bozkurt, I. Erer

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

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

1 Atıf (Scopus)

Özet

Edge preserving image decomposition is proposed as a preprocessing technique to increase the accuracy in automatic radar target classification. The radar images are decomposed trough edge preserving image decomposition methods with parameters optimized for a better classification rate. By appropriate choice of the parameters, it is possible to keep the necessary information in the residual images while transferring the redundant information to the detail planes. Thus the use of residual image with the meaningful amount of data without redundancies increases the classification performance. The proposed preprocessing scheme is validated for an experimental dataset and compared with other image decomposition methods.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017
Editörler	M.F. Unal, A. Hacioglu, M.S. Yildiz, O. Altan, M. Yorukoglu
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	161-165
Sayfa sayısı	5
ISBN (Elektronik)	9781538616031
DOI'lar	https://doi.org/10.1109/RAST.2017.8003014
Yayın durumu	Yayınlandı - 4 Ağu 2017
Etkinlik	8th International Conference on Recent Advances in Space Technologies, RAST 2017 - Istanbul, Turkey Süre: 19 Haz 2017 → 22 Haz 2017

Yayın serisi

Adı	Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017

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

???event.eventtypes.event.conference???	8th International Conference on Recent Advances in Space Technologies, RAST 2017
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	19/06/17 → 22/06/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

Finansman

Data used in paper is recorded by STARLOS sensor of Sandia National Laboratory on January 1998. This data acquisition program is supported by DARPA and United States Air Force Research Laboratory under the name of Moving and Stationary Target Acquisition and Recognition (MSTAR). Data is taken by ISAR working in X band in spotlight mode. Data is in HH polarization and the reflected signal range data is used to create images. 7 targets from the dataset are used in the paper [8].

Finansörler	Finansör numarası
Defense Advanced Research Projects Agency
Air Force Research Laboratory

Belgeye Erişim

10.1109/RAST.2017.8003014

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Bozkurt, H., & Erer, I. (2017). Information preserving preprocessing for improved radar target classification accuracy. In M. F. Unal, A. Hacioglu, M. S. Yildiz, O. Altan, & M. Yorukoglu (Eds.), Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017 (pp. 161-165). Makale 8003014 (Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAST.2017.8003014

Bozkurt, H. ; Erer, I. / Information preserving preprocessing for improved radar target classification accuracy. Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017. editör / M.F. Unal ; A. Hacioglu ; M.S. Yildiz ; O. Altan ; M. Yorukoglu. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 161-165 (Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017).

@inproceedings{89eb99641a2e416cbd22118dac2ab114,

title = "Information preserving preprocessing for improved radar target classification accuracy",

abstract = "Edge preserving image decomposition is proposed as a preprocessing technique to increase the accuracy in automatic radar target classification. The radar images are decomposed trough edge preserving image decomposition methods with parameters optimized for a better classification rate. By appropriate choice of the parameters, it is possible to keep the necessary information in the residual images while transferring the redundant information to the detail planes. Thus the use of residual image with the meaningful amount of data without redundancies increases the classification performance. The proposed preprocessing scheme is validated for an experimental dataset and compared with other image decomposition methods.",

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

author = "H. Bozkurt and I. Erer",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 8th International Conference on Recent Advances in Space Technologies, RAST 2017 ; Conference date: 19-06-2017 Through 22-06-2017",

year = "2017",

month = aug,

day = "4",

doi = "10.1109/RAST.2017.8003014",

language = "English",

series = "Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017",

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

pages = "161--165",

editor = "M.F. Unal and A. Hacioglu and M.S. Yildiz and O. Altan and M. Yorukoglu",

booktitle = "Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017",

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Bozkurt, H & Erer, I 2017, Information preserving preprocessing for improved radar target classification accuracy. in MF Unal, A Hacioglu, MS Yildiz, O Altan & M Yorukoglu (eds), Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017., 8003014, Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017, Institute of Electrical and Electronics Engineers Inc., pp. 161-165, 8th International Conference on Recent Advances in Space Technologies, RAST 2017, Istanbul, Turkey, 19/06/17. https://doi.org/10.1109/RAST.2017.8003014

Information preserving preprocessing for improved radar target classification accuracy. / Bozkurt, H.; Erer, I.
Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017. ed. / M.F. Unal; A. Hacioglu; M.S. Yildiz; O. Altan; M. Yorukoglu. Institute of Electrical and Electronics Engineers Inc., 2017. p. 161-165 8003014 (Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017).

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

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AU - Erer, I.

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N2 - Edge preserving image decomposition is proposed as a preprocessing technique to increase the accuracy in automatic radar target classification. The radar images are decomposed trough edge preserving image decomposition methods with parameters optimized for a better classification rate. By appropriate choice of the parameters, it is possible to keep the necessary information in the residual images while transferring the redundant information to the detail planes. Thus the use of residual image with the meaningful amount of data without redundancies increases the classification performance. The proposed preprocessing scheme is validated for an experimental dataset and compared with other image decomposition methods.

AB - Edge preserving image decomposition is proposed as a preprocessing technique to increase the accuracy in automatic radar target classification. The radar images are decomposed trough edge preserving image decomposition methods with parameters optimized for a better classification rate. By appropriate choice of the parameters, it is possible to keep the necessary information in the residual images while transferring the redundant information to the detail planes. Thus the use of residual image with the meaningful amount of data without redundancies increases the classification performance. The proposed preprocessing scheme is validated for an experimental dataset and compared with other image decomposition methods.

KW - Bilateral Filters

KW - component

KW - Denoising

KW - Image Classification

KW - Image Processing

KW - ISAR

KW - Target Classification

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Bozkurt H, Erer I. Information preserving preprocessing for improved radar target classification accuracy. In Unal MF, Hacioglu A, Yildiz MS, Altan O, Yorukoglu M, editörler, Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 161-165. 8003014. (Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017). doi: 10.1109/RAST.2017.8003014

Information preserving preprocessing for improved radar target classification accuracy

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