Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/208772
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhibiao Jiangen_US
dc.contributor.authorJian Wangen_US
dc.contributor.authorQian Songen_US
dc.contributor.authorZhimin Zhouen_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-06T07:59:24Z-
dc.date.available2020-04-06T07:59:24Z-
dc.date.issued2017en_US
dc.identifier.other10.1109/LGRS.2017.2723050en_US
dc.identifier.urihttp://localhost/handle/Hannan/208772-
dc.description.abstractAs is well known, multibaseline phase unwrapping (PU) is put forward to overcome single-baseline PU in discontinuous-terrain-height estimation. This letter presents a refined algorithm based on the cluster analysis (CA)-based noise-robust efficient multibaseline PU algorithm proposed by H. Yu. The basic idea is to combine multiple interferometric synthetic aperture radar interferograms with different baseline lengths by a linear combination. The new interferograms after the linear combination increase the ambiguity heights. The number of resulting groups on the envelope of the intercept histogram is decreased and the distance between different intercept groups is widened. Compared with the conventional CA method, the significant advantage of the refined CA (RCA) algorithm is that it improves noise robustness when the intercept groups are densely distributed. The proposed RCA algorithm is validated using the simulated interferometric data. The results demonstrate that the noise robustness performance is better than that of the CA method.en_US
dc.format.extent1565,en_US
dc.format.extent1569en_US
dc.publisherIEEEen_US
dc.relation.haspart7984870.pdfen_US
dc.titleA Refined Cluster-Analysis-Based Multibaseline Phase-Unwrapping Algorithmen_US
dc.typeArticleen_US
dc.journal.volume14en_US
dc.journal.issue9en_US
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7984870.pdf931.94 kBAdobe PDF
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhibiao Jiangen_US
dc.contributor.authorJian Wangen_US
dc.contributor.authorQian Songen_US
dc.contributor.authorZhimin Zhouen_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-06T07:59:24Z-
dc.date.available2020-04-06T07:59:24Z-
dc.date.issued2017en_US
dc.identifier.other10.1109/LGRS.2017.2723050en_US
dc.identifier.urihttp://localhost/handle/Hannan/208772-
dc.description.abstractAs is well known, multibaseline phase unwrapping (PU) is put forward to overcome single-baseline PU in discontinuous-terrain-height estimation. This letter presents a refined algorithm based on the cluster analysis (CA)-based noise-robust efficient multibaseline PU algorithm proposed by H. Yu. The basic idea is to combine multiple interferometric synthetic aperture radar interferograms with different baseline lengths by a linear combination. The new interferograms after the linear combination increase the ambiguity heights. The number of resulting groups on the envelope of the intercept histogram is decreased and the distance between different intercept groups is widened. Compared with the conventional CA method, the significant advantage of the refined CA (RCA) algorithm is that it improves noise robustness when the intercept groups are densely distributed. The proposed RCA algorithm is validated using the simulated interferometric data. The results demonstrate that the noise robustness performance is better than that of the CA method.en_US
dc.format.extent1565,en_US
dc.format.extent1569en_US
dc.publisherIEEEen_US
dc.relation.haspart7984870.pdfen_US
dc.titleA Refined Cluster-Analysis-Based Multibaseline Phase-Unwrapping Algorithmen_US
dc.typeArticleen_US
dc.journal.volume14en_US
dc.journal.issue9en_US
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7984870.pdf931.94 kBAdobe PDF
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhibiao Jiangen_US
dc.contributor.authorJian Wangen_US
dc.contributor.authorQian Songen_US
dc.contributor.authorZhimin Zhouen_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-06T07:59:24Z-
dc.date.available2020-04-06T07:59:24Z-
dc.date.issued2017en_US
dc.identifier.other10.1109/LGRS.2017.2723050en_US
dc.identifier.urihttp://localhost/handle/Hannan/208772-
dc.description.abstractAs is well known, multibaseline phase unwrapping (PU) is put forward to overcome single-baseline PU in discontinuous-terrain-height estimation. This letter presents a refined algorithm based on the cluster analysis (CA)-based noise-robust efficient multibaseline PU algorithm proposed by H. Yu. The basic idea is to combine multiple interferometric synthetic aperture radar interferograms with different baseline lengths by a linear combination. The new interferograms after the linear combination increase the ambiguity heights. The number of resulting groups on the envelope of the intercept histogram is decreased and the distance between different intercept groups is widened. Compared with the conventional CA method, the significant advantage of the refined CA (RCA) algorithm is that it improves noise robustness when the intercept groups are densely distributed. The proposed RCA algorithm is validated using the simulated interferometric data. The results demonstrate that the noise robustness performance is better than that of the CA method.en_US
dc.format.extent1565,en_US
dc.format.extent1569en_US
dc.publisherIEEEen_US
dc.relation.haspart7984870.pdfen_US
dc.titleA Refined Cluster-Analysis-Based Multibaseline Phase-Unwrapping Algorithmen_US
dc.typeArticleen_US
dc.journal.volume14en_US
dc.journal.issue9en_US
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7984870.pdf931.94 kBAdobe PDF