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Improved Sigma Filter for Speckle Filtering of PolinSAR Imagery

机译:改进的Sigma滤波器,用于PolinSAR图像的斑点滤波

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The authors propose an improved sigma filter for the speckle filtering of polari-metric interferometry data. 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 the speckle model used in Lee sigma filter is the negative exponential model, which is only suitable for uniform regions. For the texture and very uneven regional areas, the effectiveness of this filter is to be questioned. In this paper, we extend and improve the Lee sigma filter by introducing generalized Gamma model, which can be applied to a variety of areas. In addition, we incorporate the phase processing to improve the interferometric coherence. The proposed algorithm is applied to Chinese airborne SAR data to demonstrate its overall speckle filtering characteristics as compared with other algorithms.
机译:作者提出了一种改进的sigma滤波器,用于偏振干涉数据的斑点滤波。 Lee sigma滤波器是在1983年基于2σ概率的简单概念而开发的,它在散斑滤波方面相当有效。但是,Lee sigma滤波器中使用的散斑模型是负指数模型,仅适用于均匀区域。对于质地和非常不均匀的区域,该滤网的有效性值得怀疑。在本文中,我们通过引入广义Gamma模型来扩展和改进Lee sigma滤波器,该模型可以应用于各种领域。此外,我们合并了相位处理以提高干涉相干性。将该算法应用于中国机载SAR数据,以证明其与其他算法相比的总体斑点滤波特性。

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