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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Calibration of Compact Polarimetric SAR Images Using Distributed Targets and One Corner Reflector
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Calibration of Compact Polarimetric SAR Images Using Distributed Targets and One Corner Reflector

机译:使用分布式目标和一个角反射镜校准紧凑型极化SAR图像

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Compact polarimetric (CP) synthetic aperture radar (SAR) systems are attracting increasing interest as they possess the ability to construct quad-polarimetric information with advantages of simpler system, lower data rate, and wider swath, compared to a fully polarimetric (FP) system. In order to get undistorted polarimetric information, calibration of CP measurements has to be performed. Freeman and Chen both proposed methods for CP SAR calibration using merely calibrators, which require at least three calibrators at a range line and would require many more calibrators when monitoring the change of the system across the swath is necessary. It has been proved that FP SAR calibration methods exploring scattering characteristics of natural distributed targets (DTs) can reduce the requirement of the number of deployed calibrators. However, it is much more complicated in the case of CP SAR calibration, as only two channels of CP measurements are available. This paper proposes a numerical CP calibration method using natural DTs and only one corner reflector (CR) for a reciprocal CP SAR system. The validity of the method for three typical CP modes is confirmed by simulations with Advanced Land Observing Satellite Phased Array L-band SAR data. Through sensitivity analysis, a dihedral at 0 is selected as the best CR for the calibration algorithm.
机译:紧凑型极化(CP)合成孔径雷达(SAR)系统吸引了越来越多的关注,因为它们具有构造四极化信息的能力,与全极化(FP)系统相比,该系统具有更简单的系统,更低的数据速率和更宽的覆盖范围。为了获得未失真的极化信息,必须执行CP测量的校准。 Freeman和Chen都提出了仅使用校准器进行CP SAR校准的方法,该方法要求在距离线上至少有三个校准器,并且在需要监测整个条带的系统变化时需要更多的校准器。已经证明,探索自然分布目标(DT)散射特性的FP SAR校准方法可以减少对部署的校准器数量的需求。但是,在CP SAR校准情况下要复杂得多,因为只有两个CP测量通道可用。本文提出了一种数值CP校准方法,该方法使用自然DT和仅一个角反射器(CR)用于双向CP SAR系统。通过使用高级陆地观测卫星相控阵L波段SAR数据进行的仿真,证实了该方法对三种典型CP模式的有效性。通过灵敏度分析,选择二面角为0的值作为校准算法的最佳CR。

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