A new iterative technique for image restoration of ERS-2 raw data

C. Erhaş; S. Kent

doi:10.1109/RAST.2003.1303397

A new iterative technique for image restoration of ERS-2 raw data

C. Erhaş, S. Kent

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

3 Atıf (Scopus)

Özet

In this study, a method for restoration of synthetic aperture radar (SAR) images is presented. We implement an iterative restoration algorithm on ERS-2 images of Istanbul, Turkey. We consider restoration to be a process that attemps to reconstruct or recover an image that is degraded by using some a priori knowledge of the degradation phenomenon. A degraded image often has a noise term. Speckle noise exists in all types of coherent imaging systems and its presence reduces the resolution of the image and detectibility of the target. The method handled in the study is based on a total sum preserving regularization ( TSPR ) concept. The basic property of the TSPR method is that it preserves the mean values of local homogeneous regions and reduces speckle noise effectively. We obtain the original image from a degraded observed image. At each step of the technique the current pixel value depends on its neighbour ones, according to some regularizing parameters.

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	85-90
Sayfa sayısı	6
ISBN (Elektronik)	0780381424, 9780780381421
DOI'lar	https://doi.org/10.1109/RAST.2003.1303397
Yayın durumu	Yayınlandı - 2003
Etkinlik	International Conference on Recent Advances in Space Technologies, RAST 2003 - Istanbul, Turkey 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	Turkey
Şehir	Istanbul
Periyot	20/11/03 → 22/11/03

Bibliyografik not

Publisher Copyright:
© 2003 IEEE.

Belgeye Erişim

10.1109/RAST.2003.1303397

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Erhaş, C., & Kent, S. (2003). A new iterative technique for image restoration of ERS-2 raw data. In S. Kurnaz, F. Ince, & S. Onbasioglu (Eds.), RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies (pp. 85-90). Makale 1303397 (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.2003.1303397

Erhaş, C. ; Kent, S. / A new iterative technique for image restoration of ERS-2 raw data. 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. 85-90 (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies).

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title = "A new iterative technique for image restoration of ERS-2 raw data",

abstract = "In this study, a method for restoration of synthetic aperture radar (SAR) images is presented. We implement an iterative restoration algorithm on ERS-2 images of Istanbul, Turkey. We consider restoration to be a process that attemps to reconstruct or recover an image that is degraded by using some a priori knowledge of the degradation phenomenon. A degraded image often has a noise term. Speckle noise exists in all types of coherent imaging systems and its presence reduces the resolution of the image and detectibility of the target. The method handled in the study is based on a total sum preserving regularization ( TSPR ) concept. The basic property of the TSPR method is that it preserves the mean values of local homogeneous regions and reduces speckle noise effectively. We obtain the original image from a degraded observed image. At each step of the technique the current pixel value depends on its neighbour ones, according to some regularizing parameters.",

author = "C. Erha{\c s} and S. Kent",

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.2003.1303397",

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

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Erhaş, C & Kent, S 2003, A new iterative technique for image restoration of ERS-2 raw data. in S Kurnaz, F Ince & S Onbasioglu (eds), RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies., 1303397, RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies, Institute of Electrical and Electronics Engineers Inc., pp. 85-90, International Conference on Recent Advances in Space Technologies, RAST 2003, Istanbul, Turkey, 20/11/03. https://doi.org/10.1109/RAST.2003.1303397

A new iterative technique for image restoration of ERS-2 raw data. / Erhaş, C.; Kent, S.
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. 85-90 1303397 (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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AU - Kent, S.

PY - 2003

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AB - In this study, a method for restoration of synthetic aperture radar (SAR) images is presented. We implement an iterative restoration algorithm on ERS-2 images of Istanbul, Turkey. We consider restoration to be a process that attemps to reconstruct or recover an image that is degraded by using some a priori knowledge of the degradation phenomenon. A degraded image often has a noise term. Speckle noise exists in all types of coherent imaging systems and its presence reduces the resolution of the image and detectibility of the target. The method handled in the study is based on a total sum preserving regularization ( TSPR ) concept. The basic property of the TSPR method is that it preserves the mean values of local homogeneous regions and reduces speckle noise effectively. We obtain the original image from a degraded observed image. At each step of the technique the current pixel value depends on its neighbour ones, according to some regularizing parameters.

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

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Erhaş C, Kent S. A new iterative technique for image restoration of ERS-2 raw data. 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. 85-90. 1303397. (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies). doi: 10.1109/RAST.2003.1303397

A new iterative technique for image restoration of ERS-2 raw data

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