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Co-polarization channel imbalance phase estimation by corner-reflector-like targets

机译:类似于角反射镜的目标的同极化信道不平衡相位估计

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Polarimetric calibration is a critical step to suppress the potential system distortion before implementing any applications for polarimetric synthetic aperture radar (PolSAR). Among all the distortion elements, the crosstalk and cross-pol channel imbalance are generally estimated by the use of natural media, and the co-pol channel imbalance is traditionally solved by the use of corner reflectors (CRs). However, the deployment of ground CRs is costly and may even be impossible in some areas. Many bright point targets, such as poles, lamps, and corner points of structures, are commonly found in manmade regions. In particular, if the object orientation is parallel or perpendicular to the radar flight direction, some points will present similar polarimetric responses to trihedral or dihedral CRs. These points, which are referred to here as “CR-like targets”, can be treated as a supplement to approximately solve the system distortion elements when CRs are unavailable. In this paper, we propose a novel step-by-step algorithm to determine the CR-like targets and estimate the co-pol channel imbalance phase in uncalibrated PolSAR imagery. Chinese X-band airborne and C-band satellite PolSAR data were used to test the proposed method. Compared with the CR-derived co-pol channel imbalance phase, the solution errors of the CR-like targets were 1.305° and 0.03° for the X- and C-band experiments, respectively. The results of the experiments confirm that the solutions of the CR-like targets are very close to those of ground-deployed CRs, and the proposed method can be considered as an effective way to calibrate PolSAR images when sufficient CR-like point targets are detected in manmade regions.
机译:极化校准是在实施极化合成孔径雷达(PolSAR)的任何应用之前,抑制潜在系统失真的关键步骤。在所有失真元素中,串扰和交叉极化通道的不平衡通常是通过使用自然介质估算的,而传统的同轴极化信道不平衡是通过使用角反射器(CR)解决的。但是,地面CR的部署成本很高,甚至在某些地区甚至不可能。在人造区域中通常会发现许多亮点目标,例如杆,灯和建筑物的拐角点。特别是,如果对象方向平行于或垂直于雷达飞行方向,则某些点将对三面或二面CR表现出相似的极化响应。这些点在这里称为“ CR类目标”,可以作为补充来解决CR不可用时近似解决系统失真的问题。在本文中,我们提出了一种新颖的分步算法来确定类似CR的目标并估计未校准PolSAR图像中的co-pol信道不平衡相位。利用中国X波段机载和C波段卫星PolSAR数据对该方法进行了测试。与CR衍生的共极化通道不平衡相相比,在X波段和C波段实验中,CR类目标的解算误差分别为1.305°和0.03°。实验结果证实,CR类目标的解与地面部署CR的解非常接近,当检测到足够的CR类点目标时,该方法可作为校准PolSAR图像的有效方法。在人造地区。

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