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首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >An Adaptive Region-Based Method for Speckle Reduction in SAR Images with Local Geometric Correlation
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An Adaptive Region-Based Method for Speckle Reduction in SAR Images with Local Geometric Correlation

机译：基于自适应区域的局部几何相关SAR图像去斑方法

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For adaptive region-based despeckling methods, the shape of the adaptive region is of large influence on the estimation of the true value. In this paper, given the effectiveness of patch-based index on measuring the relativity of samples, an adaptive region is formed at each pixel via the patch-based index where the local geometric correlation (such as the anisotropy and the compactness) among the pixels in the patch is explored as an Adaptive Kernel(AK) function. Then, using all pixels contained in the adaptive region, Maximum likelihood rule is adopted to estimate the true value of the concerned pixel. From the experimental results on real and synthetic SAR images, by using the AK function embedded patchy index to determine the adaptive region, not only the speckle is largely reduced, but also the resolution of the details is well preserved by our method.
机译：对于基于自适应区域的机构的机构的机构，自适应区域的形状对真实值的估计有很大影响。本文鉴于基于贴剂的指数对测量样本的相对性的有效性，通过基于贴片的索引在每个像素处形成自适应区域，其中局部几何相关（例如像素之间的各向异性和紧凑性）在修补程序中探索为自适应内核（AK）函数。然后，使用自适应区域中包含的所有像素，采用最大似然规则来估计有关像素的真实值。从实验结果从真实和合成的SAR图像上，通过使用AK函数嵌入式斑块指数来确定自适应区域，不仅散斑大部分降低，而且还通过我们的方法保持了很好的保存。

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