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

Department of Electronics and Communication Engineering

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

5 Citations (Scopus)

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.

Original language	English
Title of host publication	RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies
Editors	S. Kurnaz, Fuat Ince, S. Onbasioglu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	365-368
Number of pages	4
ISBN (Electronic)	0780381424, 9780780381421
DOIs	https://doi.org/10.1109/RAST.2003.1303944
Publication status	Published - 2003
Event	International Conference on Recent Advances in Space Technologies, RAST 2003 - Istanbul, Turkey Duration: 20 Nov 2003 → 22 Nov 2003

Publication series

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

Conference

Conference	International Conference on Recent Advances in Space Technologies, RAST 2003
Country/Territory	Turkey
City	Istanbul
Period	20/11/03 → 22/11/03

Bibliographical note

Publisher Copyright:
© 2003 IEEE.

Keywords

Genetic algorithm
Optimization
Synthetic aperture radar

Access to Document

10.1109/RAST.2003.1303944

Cite this

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). Article 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. editor / 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).

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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.",

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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, Turkey, 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).

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

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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.

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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, editors, 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

Abstract

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Keywords

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