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dc.contributor.authorDu, Sen
dc.contributor.authorMallorquí Franquet, Jordi Joan
dc.contributor.authorZhao, Feng
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2022-12-22T11:03:06Z
dc.date.available2022-12-22T11:03:06Z
dc.date.issued2022-08-01
dc.identifier.citationDu, S.; Mallorqui, J.J.; Zhao, F. ACE-OT: Polarimetric SAR data based amplitude contrast enhancement algorithm for offset tracking applications. "IEEE transactions on geoscience and remote sensing", 1 Agost 2022, vol. 60, article 5232715.
dc.identifier.issn1558-0644
dc.identifier.urihttp://hdl.handle.net/2117/379230
dc.description.abstractThe use of polarimetric synthetic aperture radar (SAR) data can improve the performance of persistent scatterer interferometry (PSI). However, its huge potential remains locked for the amplitude information-based offset tracking (OT) technology. For example, to the best knowledge of the authors, there is no single example of a polarization-based image optimization method that has been developed for OT processing. In this article, an amplitude contrast enhancement (ACE) algorithm is introduced, which demonstrates the potential of the polarimetric SAR data on the improvement of OT performance. Its core idea is finding the optimal combination of the different scattering mechanisms for each pixel to improve the contrast. First, the orientation of the reflected polarization ellipse is removed, to avoid the influence of the geometric relationship between the antenna and the target, and the properties of the target. Then three similarity parameters are defined to represent the three basic reflection types of the single bounce, the double bounce, and the random reflection. After that, the optimizing equation is constructed with two optimizing vectors. Finally, the optimizing vectors are calculated to obtain the enhanced amplitude image. Three examples of the enhancement are presented with different PolSAR images sets of both full- (Radarsat-2) and dual-polarization (TerraSAR-X and Sentinel-1). The performance of ACE-OT has been compared with another method, the adaptive histogram enhancement (AHE). The impact of the number of polarization channels available on ACE-OT performance has also been studied.
dc.description.sponsorshipThis work was supported in part by the China Scholarship Council under Grant 201806420035, in part by the Spanish Ministry of Science and Innovation (MCIN), in part by the State Research Agency (AEI) Project under Grant PID2020-117303GB-C21 and Grant MCIN/AEI/10.13039/501100011033, in part by the National Natural Science Foundation of China under Grant 42004011, in part by the China Postdoctoral Science Foundation under Grant 2020M671646, and in part by the Construction Program of Space-Air-Ground-Well Cooperative Awareness Spatial Information Project under Grant B20046.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
dc.subject.lcshSynthetic aperture radar
dc.subject.lcshRadar -- Remote sensing
dc.subject.otherContrast enhancement
dc.subject.otherOffset tracking (OT)
dc.subject.otherRadar polarimetry
dc.subject.otherSAR
dc.titleACE-OT: Polarimetric SAR data based amplitude contrast enhancement algorithm for offset tracking applications
dc.typeArticle
dc.subject.lemacRadar d'obertura sintètica
dc.subject.lemacRadar -- Teledetecció
dc.identifier.doi10.1109/TGRS.2022.3195612
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9847035
dc.rights.accessOpen Access
local.identifier.drac34310209
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117303GB-C21/ES/TECNICAS RADAR PARA LA OBSERVACION CONTINUA DE LA TIERRA: SISTEMAS Y PROCESADO/
local.citation.authorDu, S.; Mallorqui, J.J.; Zhao, F.
local.citation.publicationNameIEEE transactions on geoscience and remote sensing
local.citation.volume60
local.citation.numberarticle 5232715


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