Ansari, Homa and De Zan, Francesco and Parizzi, Alessandro (2021) Study of Systematic Bias in Measuring Surface Deformation with SAR Interferometry. IEEE Transactions on Geoscience and Remote Sensing, 59 (2), pp. 1285-1301. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2020.3003421. ISSN 0196-2892.
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Official URL: https://ieeexplore.ieee.org/document/9130052
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 fading signal 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.
Item URL in elib: | https://elib.dlr.de/135435/ | ||||||||||||
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Document Type: | Article | ||||||||||||
Title: | Study of Systematic Bias in Measuring Surface Deformation with SAR Interferometry | ||||||||||||
Authors: |
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Date: | February 2021 | ||||||||||||
Journal or Publication Title: | IEEE Transactions on Geoscience and Remote Sensing | ||||||||||||
Refereed publication: | Yes | ||||||||||||
Open Access: | Yes | ||||||||||||
Gold Open Access: | No | ||||||||||||
In SCOPUS: | Yes | ||||||||||||
In ISI Web of Science: | Yes | ||||||||||||
Volume: | 59 | ||||||||||||
DOI : | 10.1109/TGRS.2020.3003421 | ||||||||||||
Page Range: | pp. 1285-1301 | ||||||||||||
Publisher: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||
ISSN: | 0196-2892 | ||||||||||||
Status: | Published | ||||||||||||
Keywords: | Big Data, deformation estimation, differentialinterferometric synthetic aperture radar (SAR) (DInSAR),distributed scatterers (DSs), error analysis, near real-time (NRT)processing, phase inconsistencies, signal decorrelation, time-seriesanalysis | ||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
HGF - Program: | Space | ||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||
DLR - Research theme (Project): | R - Vorhaben Multi-dimensionale SAR-Auswertung (old) | ||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > SAR Signal Processing | ||||||||||||
Deposited By: | Ansari, Homa | ||||||||||||
Deposited On: | 14 Jul 2020 12:01 | ||||||||||||
Last Modified: | 24 May 2022 23:46 |
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