An adaptive SAR image speckle reduction algorithm based on wavelet transform and partial differential equations

Jingyun Liu; Zegang Ding; Liangbo Zhao; Fei Dong; Dacheng Liu

An adaptive SAR image speckle reduction algorithm based on wavelet transform and partial differential equations

Jingyun Liu, Zegang Ding^*, Liangbo Zhao, Fei Dong, Dacheng Liu

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Aiming at the structural feature and resolution preservation in speckle reduction of SAR image, an improved algorithm of speckle reduction which combines the adaptive wavelet soft-thresholding operation with partial differential equations (PDE) operation is proposed in this paper. Firstly, for suppressing the speckle noise primarily, the method of adaptive wavelet soft-thresholding operation based on statistical characteristics of sub-blocks is used. SAR image is divided into sub-blocks and the most homogeneous sub-block is chosen to calculate the threshold. Secondly, the PDE operation is used to suppress the residual noise. The effectiveness of the algorithm is verified by the experiments with the HJ1C SAR image.

Original language	English
Article number	6856837
Pages (from-to)	489-492
Number of pages	4
Journal	Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Volume	Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Publication status	Published - 2014

Cite this

@article{fe75af99b4fd4829ac6315237d97ff4a,

title = "An adaptive SAR image speckle reduction algorithm based on wavelet transform and partial differential equations",

abstract = "Aiming at the structural feature and resolution preservation in speckle reduction of SAR image, an improved algorithm of speckle reduction which combines the adaptive wavelet soft-thresholding operation with partial differential equations (PDE) operation is proposed in this paper. Firstly, for suppressing the speckle noise primarily, the method of adaptive wavelet soft-thresholding operation based on statistical characteristics of sub-blocks is used. SAR image is divided into sub-blocks and the most homogeneous sub-block is chosen to calculate the threshold. Secondly, the PDE operation is used to suppress the residual noise. The effectiveness of the algorithm is verified by the experiments with the HJ1C SAR image.",

author = "Jingyun Liu and Zegang Ding and Liangbo Zhao and Fei Dong and Dacheng Liu",

note = "Publisher Copyright: {\textcopyright} 2014 VDE VERLAG GMBH.",

year = "2014",

language = "English",

volume = "Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR",

pages = "489--492",

journal = "Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR",

issn = "2197-4403",

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

}

An adaptive SAR image speckle reduction algorithm based on wavelet transform and partial differential equations. / Liu, Jingyun; Ding, Zegang; Zhao, Liangbo et al.
In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, Vol. Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, 6856837, 2014, p. 489-492.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - An adaptive SAR image speckle reduction algorithm based on wavelet transform and partial differential equations

AU - Liu, Jingyun

AU - Ding, Zegang

AU - Zhao, Liangbo

AU - Dong, Fei

AU - Liu, Dacheng

PY - 2014

Y1 - 2014

N2 - Aiming at the structural feature and resolution preservation in speckle reduction of SAR image, an improved algorithm of speckle reduction which combines the adaptive wavelet soft-thresholding operation with partial differential equations (PDE) operation is proposed in this paper. Firstly, for suppressing the speckle noise primarily, the method of adaptive wavelet soft-thresholding operation based on statistical characteristics of sub-blocks is used. SAR image is divided into sub-blocks and the most homogeneous sub-block is chosen to calculate the threshold. Secondly, the PDE operation is used to suppress the residual noise. The effectiveness of the algorithm is verified by the experiments with the HJ1C SAR image.

AB - Aiming at the structural feature and resolution preservation in speckle reduction of SAR image, an improved algorithm of speckle reduction which combines the adaptive wavelet soft-thresholding operation with partial differential equations (PDE) operation is proposed in this paper. Firstly, for suppressing the speckle noise primarily, the method of adaptive wavelet soft-thresholding operation based on statistical characteristics of sub-blocks is used. SAR image is divided into sub-blocks and the most homogeneous sub-block is chosen to calculate the threshold. Secondly, the PDE operation is used to suppress the residual noise. The effectiveness of the algorithm is verified by the experiments with the HJ1C SAR image.

UR - http://www.scopus.com/inward/record.url?scp=84992435559&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84992435559

SN - 2197-4403

VL - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR

SP - 489

EP - 492

JO - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR

JF - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR

M1 - 6856837

ER -

An adaptive SAR image speckle reduction algorithm based on wavelet transform and partial differential equations

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