基于CP-SAR雷达四极化重建数据的目标检测

雷达的回波信号与发射信号的极化形式有关。极化信息作为电磁波特有的一种属性，可用于目标分类和识别。基于圆形发射/线性接收的简缩极化合成孔径雷达系统是相干双极化和宽测绘带成像的结合。这些数据的极化信息可以描述成一个斯托克斯向量，并用于重建4种极化的协方差矩阵。在目标探测分析时，为了从简缩极化测量结果中重建四极化数据，对比研究了3种分别由Souyris、Nord、Michael等人提出的方法。针对海洋目标探测，探讨了这3种算法在重建海杂波方面的应用。并且，初步研究表明，通过四极化数据重建得到的信息可作为空间目标识别的一种特征。

Target detection based on four polarization data reconstruction of CP SAR radar measurement

Radar echoes depend on the polarization of transmitted electromagnetic waves. Polarization characteristics can be implemented to target recognition and identification. Compact polarimetry synthetic aperture radar systems based on the circular transmit and linear receive combine coherent dual polarization with wide swath imaging. The polarization information in these data may be represented as a Stokes vector. It can be used to reconstruct several quad polarized covariance elements. To obtain the four quad polarized data and detect the target, three reconstruction algorithms have been studied: one by Souyris et al., a refined algorithm by Nord et al. and an improved method by Michael. We investigated their application for reconstructing ocean clutter for the purpose of detecting targets. Moreover, preliminary study shows that the information from the reconstructed data can be used as a feature in target recognition.