DOI number:10.1109/TGRS.2021.3093050
Journal:IEEE Transactions on Geoscience and Remote Sensing
Key Words:Amplitude dispersion index (ADI), persistent scatterer candidate (PSC), persistent scatterer interferometry (PSI), polarimetric optimization, total power (TP), trace moment (TM)
Abstract:With the launch of various multipolarimetric satellites, many scholars have introduced the persistent scatterer (PS)-oriented polarimetric optimization methods and extended the persistent scatterer interferometry (PSI) method to multipolarimetric data configuration, called polarimetric PSI (PolPSI) technology. Most PolPSI methods mainly take the amplitude dispersion index (ADI) as the optimization criterion and evaluate the temporal amplitude stationarity of each polarimetric channel for finding an optimal one. However, due to the unstable statistical characteristics of the quality indicator, many non-PS pixels are easily mistaken for the PS candidates (PSCs), and the performance of interferometric phase optimization is also limited. To overcome these restrictions, in this article, a novel PolPSI method is proposed based on the following two improved innovations. First, in terms of PSC selection, the trace moment (TM)-based statistical properties of time-series polarimetric coherency matrices are utilized for selecting the scatterers with the temporal polarimetric stationarity. Second, in terms of interferometric phase optimization, all interferometric coherency matrices of multipolarization channels are added up together to construct the total power (TP) interferogram for suppressing the effect of speckle noise and decorrelation. In the experiment, 13 scenes of quad-polarization ALOS PALSAR-1 image are selected to verify the algorithm’s effectiveness. The experimental results demonstrate that the proposed PolPSI method can better improve the deformation monitoring performance in three aspects than both the single-polarimetric HH and traditional exhaustive search polarimetric optimization (ESPO) methods, including phase quality improvement, density of PSs, and computational efficiency.
Co-author:Lu Lijun, Luo Xingjun, Hu Jun, Fu Haiqiang, Zhu Jianjun
Indexed by:Journal paper
Correspondence Author:Wang Changcheng
Discipline:Engineering
Document Type:J
Volume:60
Page Number:1-15
Translation or Not:no
Date of Publication:2021-07-12
Included Journals:SCI
Links to published journals:https://ieeexplore-ieee-org-s.vpn.whu.edu.cn/document/9479918
Date of Publication:2021-07-12