File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Toward Mitigating Stratified Tropospheric Delays in Multitemporal InSAR: A Quadtree Aided Joint Model

TitleToward Mitigating Stratified Tropospheric Delays in Multitemporal InSAR: A Quadtree Aided Joint Model
Authors
Keywordstropospheric delays (TDs)
Interferometric synthetic aperture radar (InSAR)
least squares
Issue Date2019
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2019, v. 57, n. 1, p. 291-303 How to Cite?
Abstract© 1980-2012 IEEE. Tropospheric delays (TDs) in differential interferometric synthetic aperture radar (InSAR) measurements are mainly caused by spatial and temporal variation of pressure, temperature, and humidity between SAR acquisitions. These delays are described as one of the primary error sources in InSAR observations. Although independent atmospheric measurements have been used to correct TDs, their sparse spatial or temporal resolution requires interpolation, leading to uncertainties in the corrected interferograms. The performance of the conventional phase-based correction method is weakened by the presence of confounding signals (e.g., TDs, deformation, and topographic errors) and spatial variability of the troposphere. Here, we propose a method that can simultaneously estimate stratified TDs together with parameters of deformation and topographic error based on their distinct spatial-Temporal correlation. Spatial variability of the relationship between TDs and topographic height is addressed through localized estimation in windows divided by quadtree according to height gradient. We demonstrate the performance of the proposed method with both simulated and real data sets. In addition, both advantages and disadvantages of this method are addressed.
Persistent Identifierhttp://hdl.handle.net/10722/267102
ISSN
2017 Impact Factor: 4.662
2015 SCImago Journal Rankings: 1.975
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiang, Hongyu-
dc.contributor.authorZhang, Lei-
dc.contributor.authorDing, Xiaoli-
dc.contributor.authorLu, Zhong-
dc.contributor.authorLi, Xin-
dc.date.accessioned2019-01-31T07:20:31Z-
dc.date.available2019-01-31T07:20:31Z-
dc.date.issued2019-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, 2019, v. 57, n. 1, p. 291-303-
dc.identifier.issn0196-2892-
dc.identifier.urihttp://hdl.handle.net/10722/267102-
dc.description.abstract© 1980-2012 IEEE. Tropospheric delays (TDs) in differential interferometric synthetic aperture radar (InSAR) measurements are mainly caused by spatial and temporal variation of pressure, temperature, and humidity between SAR acquisitions. These delays are described as one of the primary error sources in InSAR observations. Although independent atmospheric measurements have been used to correct TDs, their sparse spatial or temporal resolution requires interpolation, leading to uncertainties in the corrected interferograms. The performance of the conventional phase-based correction method is weakened by the presence of confounding signals (e.g., TDs, deformation, and topographic errors) and spatial variability of the troposphere. Here, we propose a method that can simultaneously estimate stratified TDs together with parameters of deformation and topographic error based on their distinct spatial-Temporal correlation. Spatial variability of the relationship between TDs and topographic height is addressed through localized estimation in windows divided by quadtree according to height gradient. We demonstrate the performance of the proposed method with both simulated and real data sets. In addition, both advantages and disadvantages of this method are addressed.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing-
dc.subjecttropospheric delays (TDs)-
dc.subjectInterferometric synthetic aperture radar (InSAR)-
dc.subjectleast squares-
dc.titleToward Mitigating Stratified Tropospheric Delays in Multitemporal InSAR: A Quadtree Aided Joint Model-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TGRS.2018.2853706-
dc.identifier.scopuseid_2-s2.0-85051051547-
dc.identifier.volume57-
dc.identifier.issue1-
dc.identifier.spage291-
dc.identifier.epage303-
dc.identifier.isiWOS:000455089000022-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats