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

机译:通过将目标分解应用于谱域圆形SAR图像反演极化角方位角特征

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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,我们讨论了极化目标分解(TD)定理在圆形合成孔径雷达(CSAR)图像中的应用,以检索目标的极化方位角特征。在CSAR系统中,搭载雷达的飞机沿圆形路径移动。在数据采集过程中,天线波束指向圆形路径的中心,以从各种方位角或纵横角照射聚光区域。因此,所得的极化CSAR图像包含有关每个纵横比目标的极化散射机制的信息。为了恢复此信息,我们建议结合几种TD算法使用CSAR图像的频谱分解。频谱域CSAR图像可以视为方位角角度频谱图像。因此,期望将TD算法应用于光谱域图像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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