Synthetic aperture radar image processing using cellular neural networks

Sedef Kent; Osman Nuri Ucan; Tolga Ensar

doi:10.1109/RAST.2003.1303925

Synthetic aperture radar image processing using cellular neural networks

Sedef Kent, Osman Nuri Ucan, Tolga Ensar

Department of Electronics and Communication Engineering

Istanbul University

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

Abstract

In this paper, Cellular Neural Networks (CNNs) have been applied to noisy Synthetic Aperture Radar (SAR) image to improve its performance and appearance. The image has been obtained from Erzurum, Turkey. Because of the importance of imaging quality and appearance for remote sensing applications, CNN has been applied to data for image processing applications that for noise filtering and edge detection. In training, Recurrent Perceptron Learning Algorithm (RPLA) is used as a learning algorithm. According to templates SAR- image has been tested and obtained satisfactory results.

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	308-310
Number of pages	3
ISBN (Electronic)	0780381424, 9780780381421
DOIs	https://doi.org/10.1109/RAST.2003.1303925
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.

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/RAST.2003.1303925

Cite this

Kent, S., Ucan, O. N., & Ensar, T. (2003). Synthetic aperture radar image processing using cellular neural networks. In S. Kurnaz, F. Ince, & S. Onbasioglu (Eds.), RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies (pp. 308-310). Article 1303925 (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.2003.1303925

Kent, Sedef ; Ucan, Osman Nuri ; Ensar, Tolga. / Synthetic aperture radar image processing using cellular neural networks. 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. 308-310 (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies).

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title = "Synthetic aperture radar image processing using cellular neural networks",

abstract = "In this paper, Cellular Neural Networks (CNNs) have been applied to noisy Synthetic Aperture Radar (SAR) image to improve its performance and appearance. The image has been obtained from Erzurum, Turkey. Because of the importance of imaging quality and appearance for remote sensing applications, CNN has been applied to data for image processing applications that for noise filtering and edge detection. In training, Recurrent Perceptron Learning Algorithm (RPLA) is used as a learning algorithm. According to templates SAR- image has been tested and obtained satisfactory results.",

author = "Sedef Kent and Ucan, {Osman Nuri} and Tolga Ensar",

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.2003.1303925",

language = "English",

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

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

pages = "308--310",

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

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Kent, S, Ucan, ON & Ensar, T 2003, Synthetic aperture radar image processing using cellular neural networks. in S Kurnaz, F Ince & S Onbasioglu (eds), RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies., 1303925, RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies, Institute of Electrical and Electronics Engineers Inc., pp. 308-310, International Conference on Recent Advances in Space Technologies, RAST 2003, Istanbul, Turkey, 20/11/03. https://doi.org/10.1109/RAST.2003.1303925

Synthetic aperture radar image processing using cellular neural networks. / Kent, Sedef; Ucan, Osman Nuri; Ensar, Tolga.
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. 308-310 1303925 (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 paper, Cellular Neural Networks (CNNs) have been applied to noisy Synthetic Aperture Radar (SAR) image to improve its performance and appearance. The image has been obtained from Erzurum, Turkey. Because of the importance of imaging quality and appearance for remote sensing applications, CNN has been applied to data for image processing applications that for noise filtering and edge detection. In training, Recurrent Perceptron Learning Algorithm (RPLA) is used as a learning algorithm. According to templates SAR- image has been tested and obtained satisfactory results.

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M3 - Conference contribution

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

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

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Kent S, Ucan ON, Ensar T. Synthetic aperture radar image processing using cellular neural networks. 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. 308-310. 1303925. (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies). doi: 10.1109/RAST.2003.1303925

Synthetic aperture radar image processing using cellular neural networks

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Bibliographical note

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