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Remote Sensing Technology and Application  2011, Vol. 26 Issue (3): 315-321    DOI: 10.11873/j.issn.1004-0323.2011.3.315
    
A Confidence Interval and Morphological Reconstruction based Adaptive Windowing Method
JIANG Li-bing,WANG Zhuang
(ATR Key Lab,National University of Defense Technology,Changsha 410073,China)
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Abstract  

Filter window selection is one of the key issues in SAR image despeckling.An adaptive windowing method for speckle reduction is proposed,which is based on the combination of confidence interval and morphological reconstruction.Pixel selecting is first proceeded in a fixed window based on the radiometric confidence interval.A confidence interval is chosen adaptively according to the homogeneity facts of current window.Then a region adjacency constrain is carried out by morphological reconstruction to refine the window to a radiometric and spatial continuous window with arbitrary shape.The experiment results show that the proposed adaptive windowing method performs better speckle reduction and structure preservation than the box filter and improved Sigma filter.

Key words:  Speckle reduction      Adaptive windowing      Confidence interval      Morphological reconstruction      Speckle reduction      Adaptive windowing      Confidence interval      Morphological reconstruction     
Received:  14 November 2010      Published:  23 January 2013
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JIANG Li-Bing
YU Zhuang
JIANG Li-bing
WANG Zhuang

Cite this article: 

JIANG Li-bing,WANG Zhuang. A Confidence Interval and Morphological Reconstruction based Adaptive Windowing Method. Remote Sensing Technology and Application, 2011, 26(3): 315-321.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2011.3.315     OR     http://www.rsta.ac.cn/EN/Y2011/V26/I3/315

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