In the past two decades,extensive and in-depth research has been conducted on Time Series InSAR technology with the advancement of high-performance SAR satellites and the accumulation of big SAR data.The introduction ...In the past two decades,extensive and in-depth research has been conducted on Time Series InSAR technology with the advancement of high-performance SAR satellites and the accumulation of big SAR data.The introduction of distributed scatterers in Distributed Scatterers InSAR(DS-InSAR)has significantly expanded the application scenarios of InSAR geodetic measurement by increasing the number of measurement points.This study traces the history of DS-InSAR,presents the definition and characteristics of distributed scatterers,and focuses on exploring the relationships and distinctions among proposed algorithms in two crucial steps:statistically homogeneous pixel selection and phase optimization.Additionally,the latest research progress in this field is tracked and the possible development direction in the future is discussed.Through simulation experiments and two real InSAR case studies,the proposed algorithms are compared and verified,and the advantages of DS-InSAR in deformation measurement practice are demonstrated.This work not only offers insights into current trends and focal points for theoretical research on DS-InSAR but also provides practical cases and guidance for applied research.展开更多
为解决经典PSInSAR技术在非城区因受永久散射体空间分布不足而导致地形形变监测误差较大的问题,提出基于分时散射体(partial time scatterer,PTS)提取的改进算法。首先基于改进的经验模态分解对影像进行边缘保持平滑滤波降噪,然后采用...为解决经典PSInSAR技术在非城区因受永久散射体空间分布不足而导致地形形变监测误差较大的问题,提出基于分时散射体(partial time scatterer,PTS)提取的改进算法。首先基于改进的经验模态分解对影像进行边缘保持平滑滤波降噪,然后采用可信概率估计对PTS目标进行联合提取,最后通过参数差分估计分离PTS相位和计算形变速率,从而得到监测区的地表形变。实验结果表明,提取的PTS目标基本可保持传统PS点的空间分布特性和时序变化趋势,提高非城区目标点的空间分布密度,本文算法具有有效性。展开更多
基金National Natural Science Foundation of China(No.42374013)National Key Research and Development Program of China(Nos.2019YFC1509201,2021YFB3900604-03)。
文摘In the past two decades,extensive and in-depth research has been conducted on Time Series InSAR technology with the advancement of high-performance SAR satellites and the accumulation of big SAR data.The introduction of distributed scatterers in Distributed Scatterers InSAR(DS-InSAR)has significantly expanded the application scenarios of InSAR geodetic measurement by increasing the number of measurement points.This study traces the history of DS-InSAR,presents the definition and characteristics of distributed scatterers,and focuses on exploring the relationships and distinctions among proposed algorithms in two crucial steps:statistically homogeneous pixel selection and phase optimization.Additionally,the latest research progress in this field is tracked and the possible development direction in the future is discussed.Through simulation experiments and two real InSAR case studies,the proposed algorithms are compared and verified,and the advantages of DS-InSAR in deformation measurement practice are demonstrated.This work not only offers insights into current trends and focal points for theoretical research on DS-InSAR but also provides practical cases and guidance for applied research.
文摘为解决经典PSInSAR技术在非城区因受永久散射体空间分布不足而导致地形形变监测误差较大的问题,提出基于分时散射体(partial time scatterer,PTS)提取的改进算法。首先基于改进的经验模态分解对影像进行边缘保持平滑滤波降噪,然后采用可信概率估计对PTS目标进行联合提取,最后通过参数差分估计分离PTS相位和计算形变速率,从而得到监测区的地表形变。实验结果表明,提取的PTS目标基本可保持传统PS点的空间分布特性和时序变化趋势,提高非城区目标点的空间分布密度,本文算法具有有效性。
