DocumentCode :
3698804
Title :
A structure-aware despeckling method of SAR image
Author :
Xin Jin;Xiaotong Wang;Xiaogang Xu; Chengtao Yi
Author_Institution :
Department of Navigation, Dalian Naval Academy, China
fYear :
2015
Firstpage :
257
Lastpage :
261
Abstract :
Recently, Synthetic Aperture Radar (SAR) has been widely applied in ocean remote sensing, since its charming advantages. However, the subsequent understanding of SAR images is difficult because of the existence of speckles. Traditional denoising methods fail to remove speckles while preserving edges. Local anisotropy degree derived from nonlinear structure tensor was introduced to distinguish structures from speckles in this paper. A structure-aware despeckling algorithm was proposed under the tensor based weighted least squares framework. Experiments demonstrated the effectiveness and robustness of the proposed method.
Keywords :
"Tensile stress","Synthetic aperture radar","Anisotropic magnetoresistance","Image edge detection","Optical filters","Speckle","Smoothing methods"
Publisher :
ieee
Conference_Titel :
Control, Automation and Information Sciences (ICCAIS), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICCAIS.2015.7338672
Filename :
7338672
Link To Document :
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