A speckle reduction algorithm by soft-thresholding based on wavelet filters for SAR images

Author

Jun, Zhang ; Xueguang, Cheng ; Jian, Liu

Author_Institution

Inst. of Pattern Recognition, HUST, Wuhan, China

Volume

2

fYear

1998

fDate

1998

Firstpage

1469

Abstract

This paper presents a speckle reduction algorithm by soft-thresholding for SAR images in multiscale and multiorientation using nonlinear wavelet analysis. Firstly, a base is chosen according to SAR image features, which is used to make a SAR image 2D wavelet transformation. Furthermore, we apply Donoho´s (1994) soft-thresholding theory and extend it to 2D SAR image processing, then select a suitable soft-threshold aimed at SAR image features. After, we remove speckles by 2D wavelet filtering. Lastly, we invert the pyramid filtering, recovering the SAR image. The experimental results of removal of speckle on SAR images are as expected

Keywords

filtering theory; image resolution; image restoration; interference suppression; radar imaging; radar interference; radar resolution; speckle; synthetic aperture radar; wavelet transforms; 2D wavelet transformation; SAR images; image features; image processing; image recovery; inverse filtering; multiorientation images; multiscale images; nonlinear wavelet analysis; pyramid filtering; soft-thresholding theory; speckle reduction; wavelet filters; Adaptive filters; Algorithm design and analysis; Discrete wavelet transforms; Filtering; Image analysis; Layout; Speckle; Synthetic aperture radar; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4325-5

Type

conf

DOI

10.1109/ICOSP.1998.770898

Filename

770898