In the time-series interferometric SAR (TSInSAR) technology, the phase linking (PL) algorithm can exploit all interferometric combinations to reconstruct the equivalent single master (ESM) interferograms for the phase quality improvement. According to the Cramer-Rao lower bound (CRLB) for PL, besides the number of spatial samples, the time-series coherence magnitude matrix determines the reconstruction performance of the ESM phases. With the abundance of time-series polarimetric SAR data, many polarimetric optimization algorithms for distributed scatterer (DS) have been introduced, mainly the averaged coherence magnitude maximization-based exhaustive search polarimetric optimization (ESPO) algorithm. However, traditional polarimetric optimization algorithms cannot work satisfactorily because of the unstable statistical characteristics. Similarly, the multi-temporal observations of each polarimetric channel contain interferometric information. From the perspective of redundant observation, introducing full-polarization information can increase the number of observations significantly. Therefore, based on the PL theory and the polarimetric optimization, this paper proposes to perform the joint diagonalization method to simultaneously extract the ESM interferometric phases of interest from three time-series coherence matrices in the Pauli basis polarizations, called the joint-polarization phase linking (JPPL) algorithm. In the experiments, the proposed JPPL algorithm can better improve the optimization performance of time-series interferometric phases of DSs than the HH and traditional ESPO algorithms in terms of speckle noise reduction and interferometric phase restoration.

在时间序列干涉SAR（TSInSAR）技术中，相位链接（PL）算法可以利用所有干涉组合来重建等效单主（ESM）干涉图，以提高相位质量。根据PL的Cramer-Rao下界（CRLB），除了空间样本的数量外，时间序列相干幅度矩阵决定了ESM相位的重建性能。随着时间序列极化SAR数据的丰富，分布式散射体（DS）的极化优化算法被引入了很多，主要是基于平均相干幅度最大化的穷举搜索极化优化（ESPO）算法。然而，由于不稳定的统计特性，传统的极化优化算法不能令人满意地工作。相似地，每个极化通道的多时相观测都包含干涉信息。从冗余观测的角度来看，引入全极化信息可以显着增加观测次数。因此，基于PL理论和极化优化，本文提出了联合对角化方法，从泡利基极化的三个时间序列相干矩阵中同时提取感兴趣的ESM干涉相位，称为联合极化相位链接。 （JPPL）算法。在实验中，所提出的 JPPL 算法在散斑降噪和干涉相位恢复方面比 HH 和传统 ESPO 算法能更好地提高 DSs 时间序列干涉相位的优化性能。