DFT/RDFT filter bank approach for speckle reduction in SAR images

M. Sezgin; I. Erer; O. K. Ersoy

doi:10.1109/IGARSS.2005.1526650

DFT/RDFT filter bank approach for speckle reduction in SAR images

M. Sezgin^*, I. Erer, O. K. Ersoy

^*Corresponding author for this work

Department of Electronics and Communication Engineering

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

5 Citations (Scopus)

Abstract

A new speckle reduction algorithm based on subband decomposition is presented. The subband decomposition is performed using a DFT/RDFT-based symmetric, zero-phase, nonoverlapping digital filter bank. The SAR image is decomposed using the proposed filter bank structure and a threshold value is estimated according to noise variance in each subband, and used for soft thresholding. The despeckled image is obtained from the thresholded subband coefficients by a new perfect reconstruction algorithm. Experimental results show that the proposed method has competitive noise removal and detail preservation properties as compared to conventional approaches such as median filtering and wavelet transform based methods.

Original language	English
Title of host publication	25th Anniversary IGARSS 2005
Subtitle of host publication	IEEE International Geoscience and Remote Sensing Symposium
Pages	3689-3692
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2005.1526650
Publication status	Published - 2005
Event	2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of Duration: 25 Jul 2005 → 29 Jul 2005

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	5

Conference

Conference	2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
Country/Territory	Korea, Republic of
City	Seoul
Period	25/07/05 → 29/07/05

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10.1109/IGARSS.2005.1526650

Cite this

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title = "DFT/RDFT filter bank approach for speckle reduction in SAR images",

abstract = "A new speckle reduction algorithm based on subband decomposition is presented. The subband decomposition is performed using a DFT/RDFT-based symmetric, zero-phase, nonoverlapping digital filter bank. The SAR image is decomposed using the proposed filter bank structure and a threshold value is estimated according to noise variance in each subband, and used for soft thresholding. The despeckled image is obtained from the thresholded subband coefficients by a new perfect reconstruction algorithm. Experimental results show that the proposed method has competitive noise removal and detail preservation properties as compared to conventional approaches such as median filtering and wavelet transform based methods.",

author = "M. Sezgin and I. Erer and Ersoy, {O. K.}",

year = "2005",

doi = "10.1109/IGARSS.2005.1526650",

language = "English",

isbn = "0780390504",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "3689--3692",

booktitle = "25th Anniversary IGARSS 2005",

note = "2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 ; Conference date: 25-07-2005 Through 29-07-2005",

}

Sezgin, M, Erer, I & Ersoy, OK 2005, DFT/RDFT filter bank approach for speckle reduction in SAR images. in 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium., 1526650, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 5, pp. 3689-3692, 2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005, Seoul, Korea, Republic of, 25/07/05. https://doi.org/10.1109/IGARSS.2005.1526650

DFT/RDFT filter bank approach for speckle reduction in SAR images. / Sezgin, M.; Erer, I.; Ersoy, O. K.
25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium. 2005. p. 3689-3692 1526650 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 5).

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

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T1 - DFT/RDFT filter bank approach for speckle reduction in SAR images

AU - Sezgin, M.

AU - Erer, I.

AU - Ersoy, O. K.

PY - 2005

Y1 - 2005

N2 - A new speckle reduction algorithm based on subband decomposition is presented. The subband decomposition is performed using a DFT/RDFT-based symmetric, zero-phase, nonoverlapping digital filter bank. The SAR image is decomposed using the proposed filter bank structure and a threshold value is estimated according to noise variance in each subband, and used for soft thresholding. The despeckled image is obtained from the thresholded subband coefficients by a new perfect reconstruction algorithm. Experimental results show that the proposed method has competitive noise removal and detail preservation properties as compared to conventional approaches such as median filtering and wavelet transform based methods.

AB - A new speckle reduction algorithm based on subband decomposition is presented. The subband decomposition is performed using a DFT/RDFT-based symmetric, zero-phase, nonoverlapping digital filter bank. The SAR image is decomposed using the proposed filter bank structure and a threshold value is estimated according to noise variance in each subband, and used for soft thresholding. The despeckled image is obtained from the thresholded subband coefficients by a new perfect reconstruction algorithm. Experimental results show that the proposed method has competitive noise removal and detail preservation properties as compared to conventional approaches such as median filtering and wavelet transform based methods.

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U2 - 10.1109/IGARSS.2005.1526650

DO - 10.1109/IGARSS.2005.1526650

M3 - Conference contribution

AN - SCOPUS:33745726390

SN - 0780390504

SN - 9780780390508

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 3689

EP - 3692

BT - 25th Anniversary IGARSS 2005

T2 - 2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005

Y2 - 25 July 2005 through 29 July 2005

ER -

DFT/RDFT filter bank approach for speckle reduction in SAR images

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