Sequential polarimetric phase optimization algorithm for dynamic deformation monitoring of landslides

IF 10.6 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL
Yian Wang , Jiayin Luo , Jie Dong , Jordi J. Mallorqui , Mingsheng Liao , Lu Zhang , Jianya Gong
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Abstract

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.

用于滑坡动态变形监测的序列偏振相位优化算法
在合成孔径雷达大数据时代,开发动态时间序列 DInSAR 处理程序用于近实时监测山体滑坡迫在眉睫。然而,山区植被茂密,会造成严重的去相关性,这对相位优化处理的精度和效率提出了很高的要求。在某些自然场景中,由于统计样本有限,使用单极化合成孔径雷达数据进行普通相位优化无法获得令人满意的结果。而新型偏振相位优化算法的计算效率较低,限制了其在大规模场景和长数据序列中的应用。此外,地面地物散射特性的时间变化和合成孔径雷达数据的不断增加也要求进行动态相位优化处理。为了在动态 DInSAR 时间序列分析中实现高效的相位优化,我们将序列估计器(SE)与总功率(TP)极化叠加方法相结合,并使用基于特征分解的最大似然估计器(EMI)进行求解,命名为 SETP-EMI。模拟和实际数据实验证明,与 EMI 和 TP-EMI 方法相比,SETP-EMI 方法在精度和效率方面都有显著提高。与 EMI 和 TP-EMI 相比,SETP-EMI 在真实数据中的高相干点分别增加了 50%和 20%。同时,在真实数据情况下,它比 EMI 和 TP-EMI 方法的效率分别高出约六倍和两倍。这些结果凸显了 SETP-EMI 方法在及时捕捉和分析不断变化的滑坡变形方面的有效性,为实时监测和决策提供了宝贵的见解。
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来源期刊
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing 工程技术-成像科学与照相技术
CiteScore
21.00
自引率
6.30%
发文量
273
审稿时长
40 days
期刊介绍: The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) serves as the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). It acts as a platform for scientists and professionals worldwide who are involved in various disciplines that utilize photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The journal aims to facilitate communication and dissemination of advancements in these disciplines, while also acting as a comprehensive source of reference and archive. P&RS endeavors to publish high-quality, peer-reviewed research papers that are preferably original and have not been published before. These papers can cover scientific/research, technological development, or application/practical aspects. Additionally, the journal welcomes papers that are based on presentations from ISPRS meetings, as long as they are considered significant contributions to the aforementioned fields. In particular, P&RS encourages the submission of papers that are of broad scientific interest, showcase innovative applications (especially in emerging fields), have an interdisciplinary focus, discuss topics that have received limited attention in P&RS or related journals, or explore new directions in scientific or professional realms. It is preferred that theoretical papers include practical applications, while papers focusing on systems and applications should include a theoretical background.
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