This article proposes a generalized modeling and simulation approach for correlated synthetic aperture radar (SAR) texture based on the Gaussian coherent scatterer model. It is rooted in the physics-based coherent scatterer assumption where each observation in an SAR image is a coherent sum of multiple underlying Gaussian scatterers. The proposal generalizes existing single-point statistical models by allowing the number of scatterers to be a correlated random field. It can also generate the desired spatial correlation texture by stipulating the structure in both the Gaussian scattered field and the number of scatterers. This generalized model is derived theoretically and then validated by both simulations and experiments with SAR data from actual sensors.

中文翻译：

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相关SAR纹理的广义高斯相干散射模型

本文提出了一种基于高斯相干散射体模型的相关合成孔径雷达（SAR）纹理的广义建模和仿真方法。它植根于基于物理学的相干散射体假设，其中 SAR 图像中的每个观测都是多个潜在高斯散射体的相干总和。该提案通过允许散射体的数量是相关的随机场来概括现有的单点统计模型。它还可以通过规定高斯散射场中的结构和散射体的数量来生成所需的空间相关纹理。这种广义模型是从理论上推导出来的，然后通过模拟和实验对来自实际传感器的 SAR 数据进行验证。