Improved Sigma Filter for Speckle Filtering of SAR Imagery

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题名:	Improved Sigma Filter for Speckle Filtering of SAR Imagery
作者:	Lee,JS;Wen,JH;Ainsworth,TL;Chen,KS;Chen,AJ
贡献者:	太空及遙測研究中心
关键词:	APERTURE RADAR IMAGES;LOCAL STATISTICS;NOISE;REDUCTION;ALGORITHM
日期:	2009
上传时间:	2010-06-29 18:51:29 (UTC+8)
出版者:	中央大學
摘要:	The Lee sigma filter was developed in 1983 based on the simple concept of two-sigma probability, and it was reasonably effective in speckle filtering. However, deficiencies were discovered in producing biased estimation and in blurring and depressing strong reflected targets. The advancement of synthetic aperture radar (SAR) technology with high-resolution data of large dimensions demands better and efficient speckle filtering algorithms. In this paper, we extend and improve the Lee sigma filter by eliminating these deficiencies. The bias problem is solved by redefining the sigma range based on the speckle probability density functions. To mitigate the problems of blurring and depressing strong reflective scatterers, a target signature preservation technique is developed. In addition, we incorporate the minimum-mean-square-error estimator for adaptive speckle reduction. Simulated SAR data are used to quantitatively evaluate the characteristics of this improved sigma filter and to validate its effectiveness. The proposed algorithm is applied to spaceborne and airborne SAR data to demonstrate its overall speckle filtering characteristics as compared with other algorithms. This improved sigma filter remains simple in concept and is computationally efficient but without the deficiencies of the original Lee sigma filter.
關聯:	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
显示于类别:	[太空及遙測研究中心] 期刊論文

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