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《Wuhan University Journal(Natural Science Edition)》 2002-01
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A Speckle Reduction Technique of SAR Images Based on Statistic

LI Xiao wei, SUN Hong, GUAN Bao, LU Yi, RU Guo\|bao (School of Electronic Information, Wuhan University, Wuhan 430072, Hubei, China)  
Speckle is the dominant effective factor to the quality of SAR images. The use of statistical property of image proposes an efficient method in spatial domain for speckle filtering and image restoration. Because the effects of both speckle filtering and edge preserving are interactional, the purpose of current filters is to improve efficiently such two factors. The classical filtering method such as kuan and Gamma MAP work efficiently to reduce the noise, but at the same time they smooth, to some extent, the edge information. Both MHR and EPOS method devise different adaptive windows to make up for this deficiency. Through the intensive research on the classical adaptive filter, this paper proposes an integrated technique that is applied on reduction of speckle and restoration of image efficiently based on adaptive window. The result of experiment indicates that the proposed method improves the quality of SAR images with conspicuous effect.
【Fund】: 国家自然科学基金 ( 6 0 0 72 0 41) ;; 国防科技重点实验室基金资助
【CateGory Index】: TN957.52
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