Paper Info
Title
Suppression of Coherence Matrix Bias for Phase Linking and Ambiguity Detection in MTInSAR
Abstract
Phase decorrelation, as one of the main error sources, limits the capability of interferometric synthetic aperture radar (InSAR) for deformation mapping over areas with low coherence. Although several methods have been realized to reduce decorrelation noise, for example, by phase linking and spatial and temporal filters, their performances deteriorate when coherence estimation bias exists. We present an arc-based approach that allows reconstructing unwrapped interval phase time-series based on iterative weighted least squares (WLS) in temporal and spatial domains. The main features of the method are that phase optimization and unwrapping can be jointly conducted by spatial and temporal iterative WLS and coherence matrix bias has negligible effects on the estimation. In addition, the linear formation makes the implementation suitable with small subset of interferograms, providing an efficient solution for future big SAR data. We demonstrate the effectiveness of the proposed method using simulated and real data with different decorrelation mechanisms and compare our approach with the state-of-art phase reconstruction methods. Substantial improvement can be achieved in terms of reduced root-mean-square error (RMSE) in the simulation data and increased density of coherent measurements in the real data.
Year
DOI
Venue
2021
10.1109/TGRS.2020.3000991
IEEE Transactions on Geoscience and Remote Sensing
Keywords
DocType
Volume
Distributed scatterer (DS),interferometric synthetic aperture radar (InSAR),phase decorrelation,distributed scatterer weighted least squares (WLS)
Journal
59
Issue
ISSN
Citations 
2
0196-2892
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Hongyu Liang18416.39
Lei Zhang29014.86
Xiao-Li Ding317129.90
zhong lu44018.20
Xin Li543.47
Jun Hu64618.65
Songbo Wu713.41