DocumentCode
518667
Title
An improved SAR image speckle filter
Author
Li Zhuang ; Wang Kun-peng
Author_Institution
Coll. of Aerosp. & Mater. Eng., Nat. Univ. of Defense Technol., Changsha, China
Volume
3
fYear
2010
fDate
27-29 March 2010
Firstpage
139
Lastpage
143
Abstract
An improved SAR image denoising method based on sigma filter was proposed here. Firstly, we analyzed the traditional sigma filter and showed its weakness in removing complex noise while maintaining sharpness of edges. Secondly, the sigma filter was modified to accommodate to image with complex noise. Then, to maintain the sharpness of weak edges, we put forward a new method named grey center offset sigma filter (GCOSF). In GCOSF, canny detector is utilized to detect regions containing edges. We adopt grey center offset value instead of center value to calculate filtering result. Last, experimental results demonstrate that the GCOSF performs better than traditional sigma filter and several other filters by considering the effect of noise removing and edge keeping simultaneously.
Keywords
filtering theory; image denoising; radar imaging; synthetic aperture radar; GCOSF; SAR image denoising method; SAR image speckle filter; grey center offset sigma filter; grey center offset value; synthetic aperture radar; Aerospace engineering; Aerospace materials; Educational institutions; Filtering; Image denoising; Image edge detection; Maintenance engineering; Nonlinear filters; Pixel; Speckle; SAR image; complex noise; edge preserving; rey center offset; sigma filter; weak edge;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-5845-5
Type
conf
DOI
10.1109/ICACC.2010.5486759
Filename
5486759
Link To Document