Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/627013
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dc.contributor.authorHanning Wangen_US
dc.contributor.authorZhimin Zhouen_US
dc.contributor.authorJohn Turnbullen_US
dc.contributor.authorQian Songen_US
dc.contributor.authorFeng Qien_US
dc.date.accessioned2020-05-20T09:36:31Z-
dc.date.available2020-05-20T09:36:31Z-
dc.date.issued2016en_US
dc.identifier.issn1545-598Xen_US
dc.identifier.issn1558-0571en_US
dc.identifier.other10.1109/LGRS.2016.2525775en_US
dc.identifier.urihttp://localhost/handle/Hannan/157615en_US
dc.identifier.urihttp://localhost/handle/Hannan/627013-
dc.description.abstractIn this letter, we investigate an application of a generalized polar decomposition of the Mueller matrix for polarimetric synthetic aperture radar (Pol-SAR) classification. Six roll-invariant parameters (diattenuation, retardance, polarization power, depolarization anisotropy, depolarization power, and transmittance) are selected as features for the classification of scattering types. Experimental results using the AIRSAR data over Flevoland show that, for most field types, the D-R-A<sub>&#x0394;</sub>- &#x0394;-m<sub>00</sub> set provides the highest classification accuracy, followed by the D-R-P<sub>&#x0394;</sub>-&#x0394;-m<sub>00</sub> set which also provides better accuracy than the widely used H -&#x03B1;-(&#x03B4;-&#x03B3;)-A-span set. The proposed method would be valuable for Pol-SAR interpretation.en_US
dc.publisherIEEEen_US
dc.relation.haspart7419830.pdfen_US
dc.subjectMueller matrix|Generalized polar decomposition|roll-invariant parameters|polarimetric SAR classificationen_US
dc.titlePol-SAR Classification Based on Generalized Polar Decomposition of Mueller Matrixen_US
dc.typeArticleen_US
dc.journal.volume13en_US
dc.journal.issue4en_US
dc.journal.titleIEEE Geoscience and Remote Sensing Lettersen_US
Appears in Collections:2016

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Full metadata record
DC FieldValueLanguage
dc.contributor.authorHanning Wangen_US
dc.contributor.authorZhimin Zhouen_US
dc.contributor.authorJohn Turnbullen_US
dc.contributor.authorQian Songen_US
dc.contributor.authorFeng Qien_US
dc.date.accessioned2020-05-20T09:36:31Z-
dc.date.available2020-05-20T09:36:31Z-
dc.date.issued2016en_US
dc.identifier.issn1545-598Xen_US
dc.identifier.issn1558-0571en_US
dc.identifier.other10.1109/LGRS.2016.2525775en_US
dc.identifier.urihttp://localhost/handle/Hannan/157615en_US
dc.identifier.urihttp://localhost/handle/Hannan/627013-
dc.description.abstractIn this letter, we investigate an application of a generalized polar decomposition of the Mueller matrix for polarimetric synthetic aperture radar (Pol-SAR) classification. Six roll-invariant parameters (diattenuation, retardance, polarization power, depolarization anisotropy, depolarization power, and transmittance) are selected as features for the classification of scattering types. Experimental results using the AIRSAR data over Flevoland show that, for most field types, the D-R-A<sub>&#x0394;</sub>- &#x0394;-m<sub>00</sub> set provides the highest classification accuracy, followed by the D-R-P<sub>&#x0394;</sub>-&#x0394;-m<sub>00</sub> set which also provides better accuracy than the widely used H -&#x03B1;-(&#x03B4;-&#x03B3;)-A-span set. The proposed method would be valuable for Pol-SAR interpretation.en_US
dc.publisherIEEEen_US
dc.relation.haspart7419830.pdfen_US
dc.subjectMueller matrix|Generalized polar decomposition|roll-invariant parameters|polarimetric SAR classificationen_US
dc.titlePol-SAR Classification Based on Generalized Polar Decomposition of Mueller Matrixen_US
dc.typeArticleen_US
dc.journal.volume13en_US
dc.journal.issue4en_US
dc.journal.titleIEEE Geoscience and Remote Sensing Lettersen_US
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7419830.pdf1.77 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHanning Wangen_US
dc.contributor.authorZhimin Zhouen_US
dc.contributor.authorJohn Turnbullen_US
dc.contributor.authorQian Songen_US
dc.contributor.authorFeng Qien_US
dc.date.accessioned2020-05-20T09:36:31Z-
dc.date.available2020-05-20T09:36:31Z-
dc.date.issued2016en_US
dc.identifier.issn1545-598Xen_US
dc.identifier.issn1558-0571en_US
dc.identifier.other10.1109/LGRS.2016.2525775en_US
dc.identifier.urihttp://localhost/handle/Hannan/157615en_US
dc.identifier.urihttp://localhost/handle/Hannan/627013-
dc.description.abstractIn this letter, we investigate an application of a generalized polar decomposition of the Mueller matrix for polarimetric synthetic aperture radar (Pol-SAR) classification. Six roll-invariant parameters (diattenuation, retardance, polarization power, depolarization anisotropy, depolarization power, and transmittance) are selected as features for the classification of scattering types. Experimental results using the AIRSAR data over Flevoland show that, for most field types, the D-R-A<sub>&#x0394;</sub>- &#x0394;-m<sub>00</sub> set provides the highest classification accuracy, followed by the D-R-P<sub>&#x0394;</sub>-&#x0394;-m<sub>00</sub> set which also provides better accuracy than the widely used H -&#x03B1;-(&#x03B4;-&#x03B3;)-A-span set. The proposed method would be valuable for Pol-SAR interpretation.en_US
dc.publisherIEEEen_US
dc.relation.haspart7419830.pdfen_US
dc.subjectMueller matrix|Generalized polar decomposition|roll-invariant parameters|polarimetric SAR classificationen_US
dc.titlePol-SAR Classification Based on Generalized Polar Decomposition of Mueller Matrixen_US
dc.typeArticleen_US
dc.journal.volume13en_US
dc.journal.issue4en_US
dc.journal.titleIEEE Geoscience and Remote Sensing Lettersen_US
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7419830.pdf1.77 MBAdobe PDFThumbnail
Preview File