The application of wavelet transform for speckle suppression in radar imagery

Author

Dong, Yunhan ; Forster, B. ; Milne, Anthony ; Ticehurst, Catherine

Author_Institution

Sch. of Geomatic Eng., New South Wales Univ., Kensington, NSW, Australia

Volume

2

fYear

1997

fDate

3-8 Aug 1997

Firstpage

1057

Abstract

An effective algorithm for speckle noise smoothing using wavelet transform techniques is presented. Recursive wavelet transforms are used to gradually suppress speckle noise. It is found that this algorithm is more powerful compared to other existing filtering algorithms in terms of speckle suppression for synthetic aperture radar images. Examples show that the ratio of the original standard deviation to mean of about 0.30 (equivalent to 3-look images) can be reduced to 0.05-0.03 (equivalent to more than 100-look images), with a possible small sacrifice of losing some details and narrow edges

Keywords

geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; speckle; synthetic aperture radar; wavelet transforms; SAR; algorithm; geophysical measurement technique; image processing; land surface; radar imagery; radar imaging; radar remote sensing; recursive wavelet transform; speckle noise smoothing; speckle suppression; synthetic aperture radar; terrain mapping; Additive noise; Australia; Discrete wavelet transforms; Facsimile; Radar applications; Radar imaging; Smoothing methods; Speckle; Telephony; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International

Print_ISBN

0-7803-3836-7

Type

conf

DOI

10.1109/IGARSS.1997.615341

Filename

615341