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A New Alternative for SAR Imagery Coherence Estimation

机译:SAR图像相干估计的新方法

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摘要

Nowadays, multidimensional Synthetic Aperture Radar (SAR) imagery has raised as a powerful tool to extract physical information about the Earth surface. One of the main parameters which characterizes these multidimensional data is the complex correlation coefficient between two SAR images. It has been demonstrated, in the related literature, that this parameter can be sensible to different physical properties depending on the nature of the multidimensional SAR system. Hence, a correct estimation of it is essential. This paper focus on the estimation of the amplitude of this correlation coefficient, called coherence. A novel approach for its estimation is presented in the following, which does not present the drawbacks of classical approaches as the topography bias in inter-ferometric applications or the loss of spatial resolution linked to the estimation due to the spatial filtering.
机译:如今,多维合成孔径雷达(SAR)图像已成为一种强大的工具,可以提取有关地球表面的物理信息。表征这些多维数据的主要参数之一是两个SAR图像之间的复相关系数。在相关文献中已经证明,取决于多维SAR系统的性质,该参数可以对不同的物理性质敏感。因此,对它的正确估计至关重要。本文着重于对这种相关系数的幅度的估计,称为相干性。下面提出一种新颖的估计方法,该方法不存在经典方法的缺点,如干涉测量应用中的地形偏差或由于空间滤波而导致与估计相关的空间分辨率的损失。

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