DocumentCode :
51300
Title :
De-speckling method based on non-local means and coefficient variation of SAR image
Author :
Shaobo Chen ; Jianhua Hou ; Hua Zhang ; Bangyou Da
Author_Institution :
Coll. of Electron. & Inf. Eng., South-Central Univ. for Nat., Wuhan, China
Volume :
50
Issue :
18
fYear :
2014
fDate :
August 28 2014
Firstpage :
1314
Lastpage :
1316
Abstract :
Proposed is a speckle reduction method for synthetic aperture radar (SAR) images. This method can be considered as a new adaptive non-local (NL) means filtering technique since different weights based on Euclidean distance and coefficient variation (CV) of SAR images are applied. The Euclidean distance of similarity windows and CV of the search window can be calculated first; next, the decay parameter will be adjusted by the CV; then, the speckled-image pixel will be restored by weighted averaging based on the new weight. The visual and numerical experimental results show that the proposed filter can suppress speckle effectively and keep details (such as edge and texture) simultaneously. The proposed filter outperforms the existing state-of-the-art de-speckling filters based on NL means in terms of runtime.
Keywords :
adaptive filters; radar imaging; synthetic aperture radar; CV; Euclidean distance; NL means filtering technique; SAR image; adaptive nonlocal means filtering technique; coefficient variation; decay parameter; despeckling method; nonlocal means; search window; speckle reduction method; speckled image pixel; synthetic aperture radar;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2014.0630
Filename :
6888580
Link To Document :
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