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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Generation of non-Rayleigh speckle distributions using marked regularity models
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Generation of non-Rayleigh speckle distributions using marked regularity models

机译:使用标记的规律性模型生成非瑞利散斑分布

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摘要

Fully developed speckle patterns observed in coherent imagery are characterized by a Rayleigh-distributed envelope amplitude. Non-Rayleigh distributions are observed in many cases, such as when the number of scatterers in a resolution cell is small or scatterers are organized with some periodicity. Distributions resulting from the assumption of random scatterer phase (random walk models) have been used to describe the speckle amplitude in these cases, leading to K, Rician, and homodyned-K amplitude distributions. An alternative is to incorporate nonrandom phase implicitly by adopting models that directly describe the spatial placement of point scatterers. We examine the consequences of assuming that scattering is described in one dimension by a stationary renewal process in which the arrival times are the locations of ideal point scatterers, the interscatterer distances are drawn from a gamma distribution, and the scatterer amplitudes are allowed to be correlated in space. This model has been called the marked regularity model because variations of the model parameters can generate spatial distributions ranging from clustered to random to nearly periodic. We will demonstrate that all of the non-Rayleigh distributions generated by the previous random phase models can also be generated by the marked regularity model, and we show under what conditions the different distributions will result. We also demonstrate that the regularity model is inherently capable of describing certain sparse scattering conditions. Therefore, the model can represent many cases and provide an intuitively pleasing description of the spatial placement of the scatterers.
机译:在相干图像中观察到的充分发展的斑点图案的特征在于瑞利分布的包络幅度。在许多情况下会观察到非瑞利分布,例如当分辨率单元中的散射体数量较少或散射体以一定周期性组织时。在这些情况下,由随机散射相位(随机游走模型)的假设得出的分布已用于描述散斑幅度,从而导致了K,Rician和K的同质K幅度分布。另一种选择是通过采用直接描述点散射体空间位置的模型隐式地合并非随机相位。我们检查假设通过固定更新过程在一维中描述散射的结果,在该过程中,到达时间是理想点散射体的位置,散射体之间的距离是从伽玛分布中得出的,并且散射体振幅可以关联在太空。该模型被称为标记的规律性模型,因为模型参数的变化可以生成从聚类到随机到近乎周期性的空间分布。我们将证明以前的随机相位模型生成的所有非Rayleigh分布也可以通过标记的规律性模型生成,并且我们将说明在什么条件下会产生不同的分布。我们还证明了规律性模型固有地能够描述某些稀疏散射条件。因此,该模型可以表示许多情况,并且可以直观地描述散射体的空间位置。

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