DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Study of Systematic Bias in Measuring Surface Deformation with SAR Interferometry

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.

[img] PDF - Published version

Official URL: https://ieeexplore.ieee.org/document/9130052


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/
Document Type:Article
Title:Study of Systematic Bias in Measuring Surface Deformation with SAR Interferometry
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Ansari, HomaHoma.Ansari (at) dlr.dehttps://orcid.org/0000-0002-4549-2497
De Zan, Francescofrancesco.dezan (at) dlr.dehttps://orcid.org/0000-0002-1643-2559
Parizzi, Alessandroalessandro.parizzi (at) dlr.dehttps://orcid.org/0000-0002-5651-8218
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 ISI Web of Science:Yes
DOI :10.1109/TGRS.2020.3003421
Page Range:pp. 1285-1301
Publisher:IEEE - Institute of Electrical and Electronics Engineers
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

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.