Advanced Tropospheric Delay Mitigation Method Using InSAR-Based Iterative Decomposition by Considering the Statistical Characteristics of Atmospheric Turbulence

An advanced synthetic aperture radar interferometry (InSAR)-based iterative tropospheric decomposition model for more effectively mitigating both vertically stratified and turbulent delays is proposed in this article. The novelty of the model lies in two aspects: 1) incorporating turbulence variance...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2024, Vol.62, p.1-10
Main Authors: He, Xin, Li, Zhiwei, Mu, Minzheng, Duan, Meng, Wei, Jianchao, Cao, Yunmeng
Format: Article
Language:English
Subjects:
Atmospheric modeling
Atmospheric turbulence
Decomposition
Deformation
Delays
InSAR-based iterative tropospheric decomposition
Interferometric synthetic aperture radar
Interferometry
Interpolation
Iterative methods
Mitigation
SAR (radar)
spatial interpolation
Statistics
Stochastic models
Surfaces
synthetic aperture radar interferometry (InSAR)
Terrestrial atmosphere
Troposphere
tropospheric delay mitigation
turbulence variance
Variance
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Summary:An advanced synthetic aperture radar interferometry (InSAR)-based iterative tropospheric decomposition model for more effectively mitigating both vertically stratified and turbulent delays is proposed in this article. The novelty of the model lies in two aspects: 1) incorporating turbulence variance, which characterizes the statistical properties of atmospheric turbulence, into a stochastic model when iteratively removing stratified delay and 2) taking the distance and turbulence variance as the weight factors of samples, simultaneously, in spatially interpolating turbulence. In addition, our model is implemented interferogram by interferogram, so we do not need time-series InSAR datasets. The effectiveness of the proposed method is tested and validated using a set of simulated experiments and an in-site experiment over Hawaii Island, and the experimental results show that our method can mitigate tropospheric delays efficiently and robustly.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2024.3353778