Speckle Reduction of Polarimetric SAR Image Based on ICA-SCS Algorithm

Author

Chen, Hongyan ; Ma, Shang ; Yao, YuanCheng

Author_Institution

Coll. of Inf. Eng., Southwest Univ. of Sci. & Technol. (SWUST), Mianyang, China

Volume

1

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

752

Lastpage

755

Abstract

In this paper, a new method of sparse coding shrinkage based on independent component analysis is proposed to reduce speckle in polarimetric SAR Images. With soft-thresholding operator on polarimetric SAR Image, this method reduces speckle effectively and preserved polarimetric properties. The experiment shows that the image edges are retained with the proposed method and the speckle is removed effectively.

Keywords

image coding; image segmentation; independent component analysis; radar imaging; radar polarimetry; sparse matrices; speckle; synthetic aperture radar; ICA-SCS algorithm; independent component analysis; polarimetric SAR image speckle reduction; soft-thresholding operator; sparse coding shrinkage; Filtering algorithms; Image coding; Independent component analysis; Information filtering; Information filters; Principal component analysis; Sparse matrices; Speckle; Synthetic aperture radar; Vectors; Independent Component Analysis; Polarimetric SAR; Speckle noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3746-7

Type

conf

DOI

10.1109/ISCSCT.2008.56

Filename

4731534