A Novel Approach Based on Wavelet-ICA for SAR Image Speckle Suppression

Author

Lu, XiaoGuang ; Han, Ping ; Wu, Renbiao ; Huang, Jingxiong

Author_Institution

Tianjin Key Lab for Adv. Signal Process., Civil Aviation China Univ., Tianjin

Volume

4

fYear

2006

fDate

16-20 2006

Abstract

In this paper we propose a novel speckle suppression method based on the joint of wavelet transform (WT) and independent component analysis (ICA). The method employs ICA to process the wavelet coefficients of images, extracting the independent components which represent the uncorrupt images. Experimental results based on SAR (synthetic aperture radar) images of MSTAR (moving and stationary target acquisition and recognition) dataset show that the proposed method suppresses speckle effectively, and outperforms ICA and Lee filter

Keywords

image denoising; independent component analysis; object recognition; radar imaging; synthetic aperture radar; wavelet transforms; SAR image speckle suppression; filter; independent component analysis; moving and stationary target acquisition and recognition; synthetic aperture radar; wavelet transform; wavelet-ICA; Discrete wavelet transforms; Image analysis; Image recognition; Independent component analysis; Signal processing; Signal processing algorithms; Speckle; Synthetic aperture radar; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2006 8th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9736-3

Electronic_ISBN

0-7803-9736-3

Type

conf

DOI

10.1109/ICOSP.2006.346033

Filename

4129725