几种主要消除斑点噪声滤波处理算法的数学模型

几种主要消除斑点噪声滤波处理算法的数学模型

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Initial contribute: 2018-12-04

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岳天祥编著
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yue@lreis.ac.cn
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Method-focused categoriesData-perspectiveRemote sensing analysis

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几种主要消除斑点噪声滤波处理算法的数学模型

(1)    均值平滑滤波模型:

式中,为平滑处理后的像元灰度值;为平滑模板内各像元的原始灰度值;为平滑模板的大小。

(2)    Frost自适应滤波模型:

 

式中,为平滑处理后的像元灰度值;为平滑模板中各像元的原始灰度值;为平滑模板中每个对应像元的权重指数;为平滑模板内中心像元到其相邻像元的绝对距离;DAMP为指数衰减值;为平滑模板中像元值的方差;为平滑模板中像元值的均值平方;为平滑模板的大小。

(3)    Lee自适应滤波模型:

式中,R为平滑处理后的像元灰度值;I为平滑模板中像元值;CP为平滑模板中心点像元灰度值;U为相乘噪音的均值;V为平滑模板中像元值的方差;SD为平滑模板内的噪音标准差。

(4)改良K――均值自适应滤波模型:

    

 

式中,为平滑处理后的像元灰度值;为平滑模板中各像元的原始灰度值;为平滑模板中像元值的方差;为整个研究区域最小方差值;为整个研究区域最大方差值;为平滑模板大小。

参考文献

    唐伶俐,江平,戴昌达,Thomas J Jackson:星载SAR图像斑点噪声消除方法效果的比较研究。环境遥感,1996113

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《资源环境数学模型手册》 (2018). 几种主要消除斑点噪声滤波处理算法的数学模型, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/72db6988-fdf5-4077-b7c2-b3ccfeb4c72f
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Initial contribute : 2018-12-04

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Authorship

:  
岳天祥编著
:  
yue@lreis.ac.cn
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Last modifier
Zhiyi Zhu
Last modify time
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