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

Department of Electronics and Communication Engineering

Istanbul Technical University

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

3 Citations (Scopus)

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.

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	85-90
Number of pages	6
ISBN (Electronic)	0780381424, 9780780381421
DOIs	https://doi.org/10.1109/RAST.2003.1303397
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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10.1109/RAST.2003.1303397

Cite this

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). Article 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. editor / 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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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.",

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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).

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

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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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Erhaş C, Kent S. A new iterative technique for image restoration of ERS-2 raw data. 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. 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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