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遥感技术与应用
    
基于置信区间与形态重构的自适应滑窗新方法
蒋李兵1,王壮2
1. 国防科技大学ATR重点实验室
2.
A Confidence Interval and Morphological Reconstruction based Adaptive Windowing Method
 全文: PDF 
摘要: 滤波滑窗的选取是SAR图像相干斑滤波的关键问题之一。从SAR图像中均匀区域的幅度和空间特性出发,提出了一种基于置信区间与形态学重构的自适应滑窗方法。首先在固定滑窗内进行强度筛选,依据初筛结果的异质程度自适应调整置信区间,得到在幅度上连续的初始自适应窗;接着以初始自适应窗为掩膜,通过空间邻接约束进行形态学重构,进一步得到在空间上也连续的、形状任意的自适应滑窗。实验结果表明,与固定窗法和改进的Sigma方法相比,该自适应窗方法能够获得更好的综合滤波效果。
关键词: 相干斑滤波自适应滑窗置信区间形态学重构相干斑滤波自适应滑窗置信区间形态学重构    
Abstract: Filtering 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 integration of confidence interval and morphological reconstruction. Pixel selecting is firstly proceeded in a fixed window based on the amplitude confidence interval. A confidence interval is chosen adaptively according to the homogeneity facts of current window. Then a region adjacency restriction is carried out by morphological reconstruction to refine the window to an amplitude-spatial continuous one with arbitrary shape. The experiment results show that the proposed adaptive windowing method yields 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
收稿日期: 2011-01-19 出版日期: 2013-01-23
通讯作者: 蒋李兵   
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引用本文:

蒋李兵 王壮. 基于置信区间与形态重构的自适应滑窗新方法[J]. 遥感技术与应用, 10.11873/j.issn.1004-0323.2011.3.0.

链接本文:

http://www.rsta.ac.cn/CN/Y2011/V/I3/0

[1] 蒋李兵,王壮. 基于置信区间与形态重构的自适应滑窗新方法[J]. 遥感技术与应用, 2011, 26(3): 315-321.