Speckle reduction of SAR images in the curvelet domain

Author

Ulfarsson, Magnus Orn ; Sveinsson, Johannes R. ; Benediktsson, Jon Atli

Author_Institution

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

Volume

1

fYear

2002

fDate

2002

Firstpage

315

Abstract

Curvelet transform (CT), proposed by E. Candes et al. (1999), is used for speckle reduction of SAR images. The CT 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; hard thresholding and soft thresholding. The denoising method shows great promise for speckle removal and hence provides 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; transforms; SAR; SAR images; curvelet domain; curvelet transform; denoising; geophysical measurement technique; hard thresholding; land surface; radar imaging; radar remote sensing; soft thresholding; speckle reduction; subband images; subband-image coefficients; synthetic aperture radar; terrain mapping; threshold; thresholding; Additive noise; Chaos; Computed tomography; Continuous wavelet transforms; Discrete wavelet transforms; Noise reduction; Speckle; Wavelet coefficients; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International

Print_ISBN

0-7803-7536-X

Type

conf

DOI

10.1109/IGARSS.2002.1025025

Filename

1025025