Sparsity-Driven Despeckling for SAR Images

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dc.authoridSEN, BAHA/0000-0003-3577-2548
dc.authoridOzcan, Caner/0000-0002-2854-4005
dc.authoridNAR, Fatih/0000-0002-3003-8136
dc.contributor.authorOzcan, Caner
dc.contributor.authorSen, Baha
dc.contributor.authorNar, Fatih
dc.date.accessioned2024-09-29T16:04:29Z
dc.date.available2024-09-29T16:04:29Z
dc.date.issued2016
dc.departmentKarabük Üniversitesien_US
dc.description.abstractSpeckle noise inherent in synthetic aperture radar (SAR) images seriously affects the result of various SAR image processing tasks such as edge detection and segmentation. Thus, speckle reduction is critical and is used as a preprocessing step for smoothing homogeneous regions while preserving features such as edges and point scatterers. Although state-of-the-art methods provide better despeckling compared with conventional methods, their resource consumption is higher. In this letter, a sparsitydriven total-variation (TV) approach employing l0-norm, fractional norm, or l(1)-norm to smooth homogeneous regions with minimal degradation in edges and point scatterers is proposed. Proposed method, sparsity-driven despeckling (SDD), is capable of using different norms controlled by a single parameter and provides better or similar despeckling compared with the state-of-the-art methods with shorter execution times. Despeckling performance and execution time of the SDD are shown using synthetic and real-world SAR images.en_US
dc.description.sponsorshipScientific Research Coordination Unit of Yildirim Beyazit University [YBU-BAP-590]en_US
dc.description.sponsorshipThis work was supported by the Scientific Research Coordination Unit of Yildirim Beyazit University under Grant YBU-BAP-590.en_US
dc.identifier.doi10.1109/LGRS.2015.2499445
dc.identifier.endpage119en_US
dc.identifier.issn1545-598X
dc.identifier.issn1558-0571
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-84949845192en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage115en_US
dc.identifier.urihttps://doi.org/10.1109/LGRS.2015.2499445
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6154
dc.identifier.volume13en_US
dc.identifier.wosWOS:000368193000024en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Geoscience and Remote Sensing Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFractional normen_US
dc.subjectl(0)-normen_US
dc.subjectl(1)-normen_US
dc.subjectspeckle reductionen_US
dc.subjectsynthetic aperture radar (SAR)en_US
dc.subjecttotal variation (TV)en_US
dc.titleSparsity-Driven Despeckling for SAR Imagesen_US
dc.typeArticleen_US

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