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dc.contributor.authorDey, Subhadip
dc.contributor.authorBhattacharya, Avik
dc.contributor.authorFrery, Alejandro C.
dc.contributor.authorLópez Martínez, Carlos
dc.contributor.authorRao, Yalamanchili S.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2021-04-06T06:51:06Z
dc.date.available2021-04-06T06:51:06Z
dc.date.issued2021-03-29
dc.identifier.citationDey, S. [et al.]. A model-free four component scattering power decomposition for polarimetric SAR data. "IEEE journal of selected topics in applied earth observations and remote sensing", 29 Març 2021, vol. 14, p. 3887-3902.
dc.identifier.issn1939-1404
dc.identifier.urihttp://hdl.handle.net/2117/343111
dc.description.abstractTarget decomposition methods of polarimetric Synthetic Aperture Radar (PolSAR) data explain scattering information from a target. In this regard, several conventional model-based methods utilize scattering power components to analyze polarimetric SAR data. However, the typical hierarchical process to enumerate power components uses various branching conditions, leading to several limitations. These techniques assume \textit{ad hoc} scattering models within a radar resolution cell. Therefore, the use of several models makes the computation of scattering powers ambiguous. Some common issues of model-based decompositions are related to the compensation of the orientation angle about the radar line of sight and the negative power components' occurrence. We propose a model-free four-component scattering power decomposition that alleviates these issues. In the proposed approach, we use the non-conventional 3D Barakat degree of polarization to obtain the scattered electromagnetic wave's polarization state. The degree of polarization is used to obtain the even-bounce, odd-bounce, and diffused scattering power components. Along with this, a measure of target scattering asymmetry is also proposed, which is then suitably utilized to obtain the helicity power. All the power components are roll-invariant, non-negative and unambiguous. In addition to this, we propose an unsupervised clustering technique that preserves the dominance of the scattering power components for different targets. This clustering technique assists in understanding the importance of diverse scattering mechanisms based on target characteristics. The technique adequately captures the clusters' variations from one target to another according to their physical and geometrical properties.
dc.format.extent17 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
dc.subject.lcshPolarimetry
dc.subject.lcshSynthetic aperture radar
dc.subject.otherFull polarimetry
dc.subject.otherTarget decomposition
dc.subject.otherScattering-type parameter
dc.subject.otherTarget characterization
dc.titleA model-free four component scattering power decomposition for polarimetric SAR data
dc.typeArticle
dc.subject.lemacRadar d'obertura sintètica
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1109/JSTARS.2021.3069299
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9388861
dc.rights.accessOpen Access
local.identifier.drac30879337
dc.description.versionPostprint (published version)
local.citation.authorDey, S.; Bhattacharya, A.; Frery, A.; López-Martínez, C.; Rao, Y.
local.citation.publicationNameIEEE journal of selected topics in applied earth observations and remote sensing
local.citation.volume14
local.citation.startingPage3887
local.citation.endingPage3902


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