Speckle reduction of SAR images in the complex wavelet domain

Author

Sveinsson, Johannes R. ; Benediktsson, Jon Atli

Author_Institution

Dept. of Electr. & Comput. Eng., Iceland Univ., Reykjavik, Iceland

Volume

5

fYear

2001

fDate

2001

Firstpage

2346

Abstract

Dual tree complex wavelet transformation (CWT), proposed by N. G. Kingsbury (1999), is used for speckle reduction of SAR images. The CWT is useful for speckle reduction through its subband images and the speckle reduction is obtained by thresholding the subband-image coefficients of the digitized SAR images. Two thresholding methods are used; soft thresholding and thresholding using non-linear functions which are adapted for each of selected subband and is based on sigmiod functions. The denoising method shows great promise for speckle removal and hence should provide good detection performance for SAR based recognition

Keywords

geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; speckle; synthetic aperture radar; terrain mapping; wavelet transforms; SAR; SAR images; complex wavelet domain; denoising; dual tree complex wavelet transformation; geophysical measurement technique; land surface; nonlinear functions; radar imaging; radar remote sensing; sigmoid functions; speckle reduction; speckle removal; subband image coefficients; subband images; synthetic aperture radar; terrain mapping; thresholding; Speckle; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.977997

Filename

977997