A novel approach for synthetic aperture radar image processing based on genetic algorithm

M. Emre Aydemir; Tayfun Günel; Is̈in Ere; Sefer Kumaz

doi:10.1109/RAST.2003.1303944

A novel approach for synthetic aperture radar image processing based on genetic algorithm

M. Emre Aydemir
, Tayfun Günel
, Is̈in Ere
, Sefer Kumaz

Elektronik ve Hab.Müh.Bölümü

Turkish Air Force Academy
Istanbul Technical University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

5 Atıf (Scopus)

Özet

In this study, an evolutionary computing algorithm Is utilized for data preparation and analysis of synthetic aperture radar (SAR) Imagery for planetary geology. Since it's invention by Dr. Holland in 1990's, Genetic Algorltm (CA) has alredy gained popularity in a wide range of engineering applications. The genetic approach is used for processing of SAR imagery to find a region of a pre-defined criterion. It was seen that, the algorithm Is superior to deterministic methods in terms of processlug times and finding the global minimum points. The proposed method is suitable to SAR image processing where huge amounts of data have to be processed in very short time intervals.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies
Editörler	S. Kurnaz, Fuat Ince, S. Onbasioglu
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	365-368
Sayfa sayısı	4
ISBN (Elektronik)	0780381424, 9780780381421
DOI'lar	https://doi.org/10.1109/RAST.2003.1303944
Yayın durumu	Yayınlandı - 2003
Etkinlik	International Conference on Recent Advances in Space Technologies, RAST 2003 - Istanbul, Türkiye Süre: 20 Kas 2003 → 22 Kas 2003

Yayın serisi

Adı	RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies

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

???event.eventtypes.event.conference???	International Conference on Recent Advances in Space Technologies, RAST 2003
Ülke/Bölge	Türkiye
Şehir	Istanbul
Periyot	20/11/03 → 22/11/03

Bibliyografik not

Publisher Copyright:
© 2003 IEEE.

Belgeye Erişim

10.1109/RAST.2003.1303944

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Aydemir, M. E., Günel, T., Ere, I., & Kumaz, S. (2003). A novel approach for synthetic aperture radar image processing based on genetic algorithm. In S. Kurnaz, F. Ince, & S. Onbasioglu (Eds.), RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies (pp. 365-368). Makale 1303944 (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAST.2003.1303944

Aydemir, M. Emre ; Günel, Tayfun ; Ere, Is̈in et al. / A novel approach for synthetic aperture radar image processing based on genetic algorithm. RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies. editör / S. Kurnaz ; Fuat Ince ; S. Onbasioglu. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 365-368 (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies).

@inproceedings{c40e5f8adae74bbf8118fbb3c3bfe655,

title = "A novel approach for synthetic aperture radar image processing based on genetic algorithm",

abstract = "In this study, an evolutionary computing algorithm Is utilized for data preparation and analysis of synthetic aperture radar (SAR) Imagery for planetary geology. Since it's invention by Dr. Holland in 1990's, Genetic Algorltm (CA) has alredy gained popularity in a wide range of engineering applications. The genetic approach is used for processing of SAR imagery to find a region of a pre-defined criterion. It was seen that, the algorithm Is superior to deterministic methods in terms of processlug times and finding the global minimum points. The proposed method is suitable to SAR image processing where huge amounts of data have to be processed in very short time intervals.",

keywords = "Genetic algorithm, Optimization, Synthetic aperture radar",

author = "Aydemir, \{M. Emre\} and Tayfun G{\"u}nel and I{\"s}in Ere and Sefer Kumaz",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; International Conference on Recent Advances in Space Technologies, RAST 2003 ; Conference date: 20-11-2003 Through 22-11-2003",

year = "2003",

doi = "10.1109/RAST.2003.1303944",

language = "English",

series = "RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies",

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

pages = "365--368",

editor = "S. Kurnaz and Fuat Ince and S. Onbasioglu",

booktitle = "RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies",

address = "United States",

}

Aydemir, ME, Günel, T, Ere, I & Kumaz, S 2003, A novel approach for synthetic aperture radar image processing based on genetic algorithm. in S Kurnaz, F Ince & S Onbasioglu (eds), RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies., 1303944, RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies, Institute of Electrical and Electronics Engineers Inc., pp. 365-368, International Conference on Recent Advances in Space Technologies, RAST 2003, Istanbul, Türkiye, 20/11/03. https://doi.org/10.1109/RAST.2003.1303944

A novel approach for synthetic aperture radar image processing based on genetic algorithm. / Aydemir, M. Emre; Günel, Tayfun; Ere, Is̈in et al.
RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies. ed. / S. Kurnaz; Fuat Ince; S. Onbasioglu. Institute of Electrical and Electronics Engineers Inc., 2003. p. 365-368 1303944 (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - A novel approach for synthetic aperture radar image processing based on genetic algorithm

AU - Aydemir, M. Emre

AU - Günel, Tayfun

AU - Ere, Is̈in

AU - Kumaz, Sefer

PY - 2003

Y1 - 2003

N2 - In this study, an evolutionary computing algorithm Is utilized for data preparation and analysis of synthetic aperture radar (SAR) Imagery for planetary geology. Since it's invention by Dr. Holland in 1990's, Genetic Algorltm (CA) has alredy gained popularity in a wide range of engineering applications. The genetic approach is used for processing of SAR imagery to find a region of a pre-defined criterion. It was seen that, the algorithm Is superior to deterministic methods in terms of processlug times and finding the global minimum points. The proposed method is suitable to SAR image processing where huge amounts of data have to be processed in very short time intervals.

AB - In this study, an evolutionary computing algorithm Is utilized for data preparation and analysis of synthetic aperture radar (SAR) Imagery for planetary geology. Since it's invention by Dr. Holland in 1990's, Genetic Algorltm (CA) has alredy gained popularity in a wide range of engineering applications. The genetic approach is used for processing of SAR imagery to find a region of a pre-defined criterion. It was seen that, the algorithm Is superior to deterministic methods in terms of processlug times and finding the global minimum points. The proposed method is suitable to SAR image processing where huge amounts of data have to be processed in very short time intervals.

KW - Genetic algorithm

KW - Optimization

KW - Synthetic aperture radar

UR - https://www.scopus.com/pages/publications/84870580190

U2 - 10.1109/RAST.2003.1303944

DO - 10.1109/RAST.2003.1303944

M3 - Conference contribution

AN - SCOPUS:84870580190

T3 - RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies

SP - 365

EP - 368

BT - RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies

A2 - Kurnaz, S.

A2 - Ince, Fuat

A2 - Onbasioglu, S.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Conference on Recent Advances in Space Technologies, RAST 2003

Y2 - 20 November 2003 through 22 November 2003

ER -

Aydemir ME, Günel T, Ere I, Kumaz S. A novel approach for synthetic aperture radar image processing based on genetic algorithm. In Kurnaz S, Ince F, Onbasioglu S, editörler, RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies. Institute of Electrical and Electronics Engineers Inc. 2003. p. 365-368. 1303944. (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies). doi: 10.1109/RAST.2003.1303944

A novel approach for synthetic aperture radar image processing based on genetic algorithm

Özet

Yayın serisi

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Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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