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Comparison of the estimation of the degree of polarization from four or two intensity images degraded by speckle noise.

机译:从散斑噪声退化的四个或两个强度图像估计偏振度的比较。

摘要

Active polarimetric imagery is a powerful tool for accessing the information present in a scene. Indeed, the polarimetric images obtained can reveal polarizing properties of the objects that are not avalaible using conventional imaging systems. However, when coherent light is used to illuminate the scene, the images are degraded by speckle noise. The polarization properties of a scene are characterized by the degree of polarization. In standard polarimetric imagery system, four intensity images are needed to estimate this degree . If we assume the uncorrelation of the measurements, this number can be decreased to two images using the Orthogonal State Contrast Image (OSCI). However, this approach appears too restrictive in some cases. We thus propose in this paper a new statistical parametric method to estimate the degree of polarization assuming correlated measurements with only two intensity images. The estimators obtained from four images, from the OSCI and from the proposed method, are compared using simulated polarimetric data degraded by speckle noise.
机译:主动偏振图像是用于访问场景中存在的信息的强大工具。实际上,获得的偏振图像可以揭示使用常规成像系统无法获得的物体的偏振特性。但是,当使用相干光照亮场景时,图像会因斑点噪声而变差。场景的偏振特性以偏振度为特征。在标准偏振成像系统中,需要四个强度图像来估计该程度。如果我们假设测量值不相关,则可以使用正交状态对比图像(OSCI)将这个数量减少到两张图像。但是,这种方法在某些情况下似乎过于严格。因此,在本文中,我们提出了一种新的统计参数方法,该方法假设仅与两个强度图像相关的测量值,即可估计偏振度。使用散斑噪声降低的模拟极化数据,比较了从四个图像(从OSCI和提出的方法)获得的估计量。

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