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Retrieval of Polarimetric Azimuthal Angular Characteristics via the Application of Target Decomposition to Spectral Domain Circular SAR Images

机译:通过应用目标分解对光谱域圆形SAR图像的应用来检索极化方位角角度特征

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In this paper, we discuss the application of polarimetric target decomposition (TD) theorems to circular synthetic aperture radar (CSAR) images to retrieve the polarimetric azimuthal angular characteristics of the targets. In CSAR systems, radar-carrying aircraft moves along a circular path. The antenna beam is pointed toward the center of the circular path during the data acquisition to irradiate the spotlighted area from various azimuthal or aspect angles. Therefore, the resultant polarimetric CSAR images contain information about the polarimetric scattering mechanisms of the targets at each aspect angles. To recover this information, we propose the use of spectral decomposition of CSAR images in combination with several TD algorithms. The spectral domain CSAR images can be viewed as the azimuthal angular spectrum images. Thus, the application of TD algorithms to the spectral domain images is expected to be able to obtain the angular dependence and polarimetric scattering properties of the targets simultaneously. We carried out a simple numerical simulation and an indoor laboratory experiment to validate the proposed TD scheme.
机译:在本文中,我们讨论Polarimetric目标分解(TD)定理在循环合成孔径雷达(CSAR)图像中的应用,以检索目标的偏振方位角特征。在CSAR系统中,牵引飞机沿着圆形路径移动。在数据采集期间,天线光束朝向圆形路径的中心指向,以从各种方位角或方向角照射区域。因此,所得到的偏振CSAR图像包含关于每个方面角度的目标的偏振散射机制的信息。为了恢复这些信息,我们建议使用CSAR图像的光谱分解与多个TD算法组合。可以将光谱域CSAR图像视为方位角角频谱图像。因此,预期将TD算法应用于频谱域图像的应用,以便能够同时获得目标的角度依赖性和偏振散射特性。我们进行了一个简单的数值模拟和室内实验室实验,以验证所提出的TD方案。

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