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Improved Sigma Filter for Speckle Filtering of PolinSAR Imagery

机译:改进的Sigma过滤器,用于POLINSAR图像的斑点过滤

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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,用于极化度量干涉数据的散斑滤波。基于两个Σ概率的简单概念,Lee Sigma滤波器于1983年开发,在散斑过滤中具有合理有效。然而,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。对于纹理和非常不均匀的区域地区,这种过滤器的有效性应质疑。在本文中,我们通过引入广义伽玛模型来延伸和改善Lee Sigma过滤器,可以应用于各种区域。此外,我们纳入了相位处理以改善干涉式相干性。该算法应用于中国空气传播的SAR数据,以展示其与其他算法相比的整体斑点滤波特性。

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