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Article: Kalman-filter-based approach for multisensor, multitrack, and multitemporal InSAR

TitleKalman-filter-based approach for multisensor, multitrack, and multitemporal InSAR
Authors
KeywordsDifferential interferometric synthetic aperture radar (SAR) (InSAR) (DInSAR)
3-D measurements
multitrack
multitemporal
multisensor
Kalman filter
Issue Date2013
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2013, v. 51, n. 7, p. 4226-4239 How to Cite?
AbstractA Kalman-filter-based approach is presented for resolving 3-D surface displacements using multisensor, multitrack, and multitemporal interferometric synthetic aperture radar (SAR) measurements. Measurements from each interferogram are projected into the three reference directions and combined in the Kalman filter model with displacements determined from previous interferograms to produce updated displacement measurements. Both simulated and real data sets are used to test the proposed approach. It is found that the method works well when the measurement noise is low. The displacements in the north direction, however, are much lower in accuracy than those in the other two directions and even become unstable when the measurement noise is high due to the polar-orbiting imaging geometries of the current satellite SAR sensors. © 1980-2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/266964
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.403
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHu, Jun-
dc.contributor.authorDing, Xiao Li-
dc.contributor.authorLi, Zhi Wei-
dc.contributor.authorZhu, Jian Jun-
dc.contributor.authorSun, Qian-
dc.contributor.authorZhang, Lei-
dc.date.accessioned2019-01-31T07:20:06Z-
dc.date.available2019-01-31T07:20:06Z-
dc.date.issued2013-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, 2013, v. 51, n. 7, p. 4226-4239-
dc.identifier.issn0196-2892-
dc.identifier.urihttp://hdl.handle.net/10722/266964-
dc.description.abstractA Kalman-filter-based approach is presented for resolving 3-D surface displacements using multisensor, multitrack, and multitemporal interferometric synthetic aperture radar (SAR) measurements. Measurements from each interferogram are projected into the three reference directions and combined in the Kalman filter model with displacements determined from previous interferograms to produce updated displacement measurements. Both simulated and real data sets are used to test the proposed approach. It is found that the method works well when the measurement noise is low. The displacements in the north direction, however, are much lower in accuracy than those in the other two directions and even become unstable when the measurement noise is high due to the polar-orbiting imaging geometries of the current satellite SAR sensors. © 1980-2012 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing-
dc.subjectDifferential interferometric synthetic aperture radar (SAR) (InSAR) (DInSAR)-
dc.subject3-D measurements-
dc.subjectmultitrack-
dc.subjectmultitemporal-
dc.subjectmultisensor-
dc.subjectKalman filter-
dc.titleKalman-filter-based approach for multisensor, multitrack, and multitemporal InSAR-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TGRS.2012.2227759-
dc.identifier.scopuseid_2-s2.0-84880262712-
dc.identifier.volume51-
dc.identifier.issue7-
dc.identifier.spage4226-
dc.identifier.epage4239-
dc.identifier.isiWOS:000320943700012-
dc.identifier.issnl0196-2892-

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