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A PoISAR image speckle filtering method preserving point targets and dominant scattering mechanisms

机译:保留点目标和主要散射机制的PoISAR图像斑点滤波方法

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摘要

A new approach in polarimetric synthetic aperture radar (PolSAR) speckle filtering is proposed in this article. The proposed method preserves both point targets and dominant scattering mechanisms. The point targets are detected based on the span image, and they are then neither filtered nor involved in the other pixels' filtering. To achieve the protection of the dominant scattering mechanism of each pixel, only pixels of the same dominant scattering mechanism as the centre pixel are included in the selection of the homogeneous pixels. Both point targets not being filtered and fact that only pixels of the same dominant scattering mechanism are included in the selection of the homogeneous pixels, which greatly improves the filtering efficiency. A likelihood-ratio test statistic based on the PolSAR covariance matrices is applied to determine the homogeneous pixels. Finally, the speckle filtering is processed using the weighted minimum mean square error estimator on the homogeneous pixels. We demonstrate the obvious advantages of the proposed method over other algorithms in the preservation of point targets and dominant scattering mechanisms, speckle suppression, protection of detail information, and maintenance of polarization information, by the use of both simulated and real PolSAR data.
机译:本文提出了一种极化合成孔径雷达(PolSAR)散斑滤波的新方法。所提出的方法既保留了点目标又保留了主要的散射机制。基于跨度图像检测点目标,然后既不过滤也不参与其他像素的过滤。为了实现每个像素的主要散射机制的保护,在均质像素的选择中仅包括与中心像素相同的主要散射机制的像素。两个点目标均未过滤,并且在选择均质像素时仅包括具有相同主要散射机制的像素,这大大提高了过滤效率。基于PolSAR协方差矩阵的似然比检验统计量可用于确定均匀像素。最后,在均质像素上使用加权最小均方误差估计器处理斑点滤波。通过使用模拟和实际PolSAR数据,我们证明了该方法相对于其他算法的明显优势,包括在保留点目标和主要散射机制,抑制斑点,保护详细信息以及维护极化信息方面。

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