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- Publisher Website: 10.1109/TGRS.2018.2853706
- Scopus: eid_2-s2.0-85051051547
- WOS: WOS:000455089000022
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Article: Toward Mitigating Stratified Tropospheric Delays in Multitemporal InSAR: A Quadtree Aided Joint Model
Title | Toward Mitigating Stratified Tropospheric Delays in Multitemporal InSAR: A Quadtree Aided Joint Model |
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Authors | |
Keywords | tropospheric delays (TDs) Interferometric synthetic aperture radar (InSAR) least squares |
Issue Date | 2019 |
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 Identifier | http://hdl.handle.net/10722/267102 |
ISSN | 2023 Impact Factor: 7.5 2023 SCImago Journal Rankings: 2.403 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Liang, Hongyu | - |
dc.contributor.author | Zhang, Lei | - |
dc.contributor.author | Ding, Xiaoli | - |
dc.contributor.author | Lu, Zhong | - |
dc.contributor.author | Li, Xin | - |
dc.date.accessioned | 2019-01-31T07:20:31Z | - |
dc.date.available | 2019-01-31T07:20:31Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | IEEE Transactions on Geoscience and Remote Sensing, 2019, v. 57, n. 1, p. 291-303 | - |
dc.identifier.issn | 0196-2892 | - |
dc.identifier.uri | http://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.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Geoscience and Remote Sensing | - |
dc.subject | tropospheric delays (TDs) | - |
dc.subject | Interferometric synthetic aperture radar (InSAR) | - |
dc.subject | least squares | - |
dc.title | Toward Mitigating Stratified Tropospheric Delays in Multitemporal InSAR: A Quadtree Aided Joint Model | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TGRS.2018.2853706 | - |
dc.identifier.scopus | eid_2-s2.0-85051051547 | - |
dc.identifier.volume | 57 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 291 | - |
dc.identifier.epage | 303 | - |
dc.identifier.isi | WOS:000455089000022 | - |
dc.identifier.issnl | 0196-2892 | - |