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dc.contributor.authorYin, Junjun
dc.contributor.authorMoon, Wooil
dc.contributor.authorYang, Jian
dc.date.accessioned2015-08-12T14:58:01Z
dc.date.available2015-08-12T14:58:01Z
dc.date.issued2015-7-26
dc.identifier.citationJunjun Yin, Wooil Moon, and Jian Yang, “Model-Based Pseudo-Quad-Pol Reconstruction from Compact Polarimetry and Its Application to Oil-Spill Observation,” Journal of Sensors, vol. 2015, Article ID 734848, 8 pages, 2015. doi:10.1155/2015/734848
dc.identifier.urihttp://dx.doi.org/10.1155/2015/734848
dc.identifier.urihttp://hdl.handle.net/1993/30662
dc.description.abstractCompact polarimetry is an effective imaging mode for wide area observation, especially for the open ocean. In this study, we propose a new method for pseudo-quad-polarization reconstruction from compact polarimetry based on the three-component decomposition. By using the decomposed powers, the reconstruction model is established as a power-weighted model. Further, the phase of the copolarized correlation is taken into consideration. The phase of double-bounce scattering is closer to π than to 0, while the phase of surface scattering is closer to 0 than to π. By considering the negative (double-bounce reflection) and positive (surface reflection) copolarized correlation, the reconstruction model for full polarimetry has a good consistency with the real polarimetric SAR data. -band ALOS/PALSAR-1 fully polarimetric data acquired on August 27, 2006, over an oil-spill area are used for demonstration. Reconstruction performance is evaluated with a set of typical polarimetric oil-spill indicators. Quantitative comparison is given. Results show that the proposed model-based method is of great potential for oil-spill observation.
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleModel-Based Pseudo-Quad-Pol Reconstruction from Compact Polarimetry and Its Application to Oil-Spill Observation
dc.typeJournal Article
dc.typeinfo:eu-repo/semantics/article
dc.language.rfc3066en
dc.description.versionPeer Reviewed
dc.rights.holderCopyright © 2015 Junjun Yin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.date.updated2015-08-08T07:00:52Z


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