The scatterings of many targets are aspect dependent, which is called anisotropy. Multi-angular synthetic aperture radar (SAR) is a suitable means of detecting this kind of anisotropic scattering behavior by viewing targets from different aspect angles. First, the statistical properties of anisotropic and isotropic scatterings are studied in this paper. X-band chamber circular SAR data are used. The result shows that isotropic scatterings have stable distributions in different aspect viewing angles while the distributions of anisotropic scatterings are various. Then the statistical properties of single polarization high-resolution multi-angular SAR images are modeled by different distributions. G ${}^0$ distribution performs best in all types of areas. An anisotropic scattering analysis method based on the multi-angular statistical properties is proposed. A likelihood ratio test based on G ${}^0$ distribution is used to measure the anisotropy. Anisotropic scatterings can be discriminated from isotropic scatterings by thresholding. Besides, the scattering direction can also be estimated by our method. AHH polarization C-band circular SAR data are used to validate our method. The result of using G ${}^0$ distribution is compared with the result of using Rayleigh distribution. The result of using G ${}^0$ distribution is the better one.

中文翻译：

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基于多角度SAR图像统计特性的各向异性散射分析方法

许多目标的散射是取决于方面的，这称为各向异性。多角度合成孔径雷达（SAR）是一种通过从不同纵横比角度观察目标来检测这种各向异性散射行为的合适方法。首先，研究了各向异性和各向同性散射的统计特性。使用X波段腔室圆形SAR数据。结果表明，各向同性散射在不同的视角均具有稳定的分布，而各向异性散射的分布则各不相同。然后通过不同的分布对单极化高分辨率多角度SAR图像的统计特性进行建模。G ${}^0$ 分布在所有类型的领域中表现最佳。提出了一种基于多角度统计特性的各向异性散射分析方法。基于G的似然比检验 ${}^0$ 分布用于测量各向异性。通过阈值可以将各向异性散射与各向同性散射区分开。此外，散射方向也可以通过我们的方法来估计。AHH极化C波段圆形SAR数据用于验证我们的方法。使用G的结果 ${}^0$ 将分布与使用瑞利分布的结果进行比较。使用G的结果 ${}^0$ 分配是更好的一种。