JPPL: A Joint-Polarization Phase Linking Algorithm for Phase Optimization of TSPolInSAR Data

DOI码：10.1016/j.jag.2022.102889

发表刊物：International Journal of Applied Earth Observation and Geoinformation

关键字：Polarimetric optimization; Time-series interferometric SAR (TSInSAR); Phase linking (PL); Joint diagonalization; Distributed scatterer (DS)

摘要：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.

合写作者：Hu Chihao, Hu Jun, Fu Haiqiang, Zhu Jianjun

论文类型：期刊论文

通讯作者：Wang Changcheng

学科门类：工学

文献类型：J

卷号：112

页面范围：102889

是否译文：否

发表时间：2022-07-01

收录刊物：SCI

发布期刊链接：https://www-sciencedirect-com-s.vpn.whu.edu.cn/science/article/pii/S1569843222000917