Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/10370
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dc.contributor.authorSakin, A.O.-
dc.contributor.authorSongur, A.C.-
dc.contributor.authorOnat, E.-
dc.date.accessioned2023-04-16T10:01:19Z-
dc.date.available2023-04-16T10:01:19Z-
dc.date.issued2022-
dc.identifier.isbn9783800758234-
dc.identifier.issn2197-4403-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/10370-
dc.descriptionAirbus;Globes;Hensoldten_US
dc.description14th European Conference on Synthetic Aperture Radar, EUSAR 2022 -- 25 July 2022 through 27 July 2022 -- 184506en_US
dc.description.abstractTranslational and rotational motion of maneuvering targets can cause range and cross-range cell migrations, culminating in a highly smeared final inverse synthetic aperture radar (ISAR) picture. To overcome this problem, a method for ISAR high-resolution imaging and motion compensation (MOCOMP) is proposed that combines adaptive joint timefrequency (AJTF) analysis and keystone transform (KT) based on genetic algorithm (GA). In synthetic data processing, the motion characteristics of the target are estimated using the Matching Pursuit (MP) technique with a third-order model of polynomial function. The Gabor-wavelet transform (GWT) is utilized as a JTF tool to generate a corresponding 3D time-range-Doppler cube. Keystone transform as remapping of the time axis is applied and Translational Motion Compensation (TMC), Rotational Motion Compensation (RMC), and KT have all been proved to operate well together. In raw data processing, the high-resolution image is obtained by using an AJTF and KT based on a genetic algorithm sans MP and GWT to compensate for migrations in the range and Doppler axis. © 2022 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings of the European Conference on Synthetic Aperture Radar, EUSARen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData handlingen_US
dc.subjectImage enhancementen_US
dc.subjectInverse problemsen_US
dc.subjectInverse synthetic aperture radaren_US
dc.subjectMotion compensationen_US
dc.subjectRadar imagingen_US
dc.subjectRotational flowen_US
dc.subjectWavelet transformsen_US
dc.subjectCross rangesen_US
dc.subjectGabor wavelet transformsen_US
dc.subjectInverse synthetic aperture radar imagesen_US
dc.subjectJoint time-frequency analysisen_US
dc.subjectKey stone transformen_US
dc.subjectManoeuvring targeten_US
dc.subjectMatching pursuiten_US
dc.subjectRange cell migrationen_US
dc.subjectRotational motionen_US
dc.subjectTranslational motionsen_US
dc.subjectGenetic algorithmsen_US
dc.titleCombining Genetic Algorithm Based Joint Time-Frequency Analysis and Keystone Transform for Isar Image Enhancementen_US
dc.typeConference Objecten_US
dc.departmentTOBB ETÜen_US
dc.identifier.volume2022-Julyen_US
dc.identifier.startpage44en_US
dc.identifier.endpage49en_US
dc.identifier.scopus2-s2.0-85143623491en_US
dc.institutionauthor-
dc.authorscopusid57771669800-
dc.authorscopusid57808721500-
dc.authorscopusid43261735100-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusquality--
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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