Paper Info
Title
Study of Systematic Bias in Measuring Surface Deformation With SAR Interferometry
Abstract
This article investigates the presence of a new interferometric signal in multilooked synthetic aperture radar (SAR) interferograms that cannot be attributed to the atmospheric or Earth-surface topography changes. The observed signal is short-lived and decays with the temporal baseline; however, it is distinct from the stochastic noise attributed to temporal decorrelation. The presence of such a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">fading signal</i> introduces a systematic phase component, particularly in short temporal baseline interferograms. If unattended, it biases the estimation of Earth surface deformation from SAR time series. Here, the contribution of the mentioned phase component is quantitatively assessed. The biasing impact on the deformation-signal retrieval is further evaluated. A quality measure is introduced to allow the prediction of the associated error with the fading signals. Moreover, a practical solution for the mitigation of this physical signal is discussed; special attention is paid to the efficient processing of Big Data from modern SAR missions such as Sentinel-1 and NISAR. Adopting the proposed solution, the deformation bias is shown to decrease significantly. Based on these analyses, we put forward our recommendations for efficient and accurate deformation-signal retrieval from large stacks of multilooked interferograms.
Year
DOI
Venue
2021
10.1109/TGRS.2020.3003421
IEEE Transactions on Geoscience and Remote Sensing
Keywords
DocType
Volume
Big Data,deformation estimation,differential interferometric synthetic aperture radar (SAR) (DInSAR),distributed scatterers (DSs),error analysis,near real-time (NRT) processing,phase inconsistencies,signal decorrelation,time-series analysis
Journal
59
Issue
ISSN
Citations 
2
0196-2892
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Homa Ansari1113.64
Francesco De Zan212523.60
Alessandro Parizzi38110.33