Sequential polarimetric phase optimization algorithm for dynamic deformation monitoring of landslides
发布时间：2024-09-24
点击次数：
DOI码：10.1016/j.isprsjprs.2024.08.013
发表刊物：ISPRS Journal of Photogrammetry and Remote Sensing
关键字：Time seires InSAR Polarimetric phase optimization Sequential processing Landslides Dynamic monitoring
摘要：In the era of big SAR data, it is urgent to develop dynamic time series DInSAR processing procedures for near-real-time monitoring of landslides. However, the dense vegetation coverage in mountainous areas causes severe decorrelations, which demands high precision and efficiency of phase optimization processing. The common phase optimization using single-polarization SAR data cannot produce satisfactory results due to the limited statistical samples in some natural scenarios. The novel polarimetric phase optimization algorithms, however, have low computational efficiency, limiting their applications in large-scale scenarios and long data sequences. In addition, temporal changes in the scattering properties of ground features and the continuous increase of SAR data require dynamic phase optimization processing. To achieve efficient phase optimization for dynamic DInSAR time series analysis, we combine the Sequential Estimator (SE) with the Total Power (TP) polarization stacking method and solve it using eigen decomposition-based Maximum Likelihood Estimator (EMI), named SETP-EMI. The simulation and real data experiments demonstrate the significant improvements of the SETP-EMI method in precision and efficiency compared to the EMI and TP-EMI methods. The SETP-EMI exhibits an increase of more than 50% and 20% in highly coherent points for the real data compared to the EMI and TP-EMI, respectively. It, meanwhile, achieves approximately six and two times more efficient than the EMI and TP-EMI methods in the real data case. These results highlight the effectiveness of the SETP-EMI method in promptly capturing and analyzing evolving landslide deformations, providing valuable insights for real-time monitoring and decision-making.
合写作者：Jiayin Luo,Jordi J. Mallorqui,Mingsheng Liao,Lu Zhang,Jianya Gong
论文类型：期刊论文
通讯作者：Jie Dong
卷号：218
页面范围：84-100
ISSN号：0924-2716
是否译文：否
发表时间：2024-09-12
收录刊物：SCI
发布期刊链接：https://www.sciencedirect.com/science/article/pii/S0924271624003241