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dc.contributor.authorÖzben Önhon, Naime
dc.contributor.authorÇetin, Müjdat
dc.date.accessioned2021-01-08T21:51:26Z
dc.date.available2021-01-08T21:51:26Z
dc.date.issued2017
dc.identifier.issn1687-6180
dc.identifier.urihttp://doi.org/10.1186/s13634-016-0442-z
dc.identifier.urihttps://hdl.handle.net/20.500.12846/255
dc.descriptionCetin, Mujdat/0000-0002-9824-1229en_US
dc.descriptionWOS:000393699200001en_US
dc.description.abstractSynthetic aperture radar (SAR) returns from a scene with motion can be viewed as data from a stationary scene, but with phase errors due to motion. Based on this perspective, we formulate the problem of SAR imaging of motion-containing scenes as one of joint imaging and phase error compensation. The proposed method is based on the minimization of a cost function which involves sparsity-imposing regularization terms on the reflectivity field to be imaged, considering that it admits a sparse representation as well as on the spatial structure of the motion-related phase errors, reflecting the assumption that only a small percentage of the entire scene contains moving objects. To incorporate the spatial structure of the phase errors into the problem, we provide three different sparsity-enforcing prior terms. In order to achieve computational gains, we also present a two-step version of our approach, which first determines regions of interest that are likely to contain the moving objects and then applies our sparsity-driven approach for joint image reconstruction and autofocusing in such a spatially constrained setting. Our preliminary experiments demonstrate the effectiveness of this new moving target SAR imaging approach.en_US
dc.description.sponsorshipScientific and Technological Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [105E090]; Turkish Academy of Sciences Distinguished Young Scientist AwardTurkish Academy of Sciencesen_US
dc.description.sponsorshipThis work was partially supported by the Scientific and Technological Research Council of Turkey under Grant 105E090, and by a Turkish Academy of Sciences Distinguished Young Scientist Award.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSaren_US
dc.subjectMoving Objecten_US
dc.subjectSparsityen_US
dc.subjectGroup Sparsityen_US
dc.subjectLow-Rank Sparse Decompositionen_US
dc.titleSAR moving object imaging using sparsity imposing priorsen_US
dc.typearticleen_US
dc.relation.journalEurasip Journal On Advances In Signal Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.departmentTAÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.contributor.institutionauthorÖzben Önhon, Naime
dc.identifier.doi10.1186/s13634-016-0442-z


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