Title :
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
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;
Conference_Titel :
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3746-7
DOI :
10.1109/ISCSCT.2008.56
