Deep Learning Assisted Linear Sampling Method for the Reconstruction of Perfect Electric Conductors

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dc.contributor.authorHarisha, S. B.
dc.contributor.authorMallikarjun, E.
dc.contributor.authorAmit, M.
dc.coverage.issue1cs
dc.coverage.volume33cs
dc.date.accessioned2024-05-28T12:43:32Z
dc.date.available2024-05-28T12:43:32Z
dc.date.issued2024-04cs
dc.description.abstractIn this study, a linear approach, linear sampling method (LSM) is used to reconstruct the shape of perfectly electric conductors (PEC) with the help of deep learning as a post-processing technique. In microwave imaging, the LSM is a simple and reliable linear inversion technique for determining the morphological features of unknown objects under investigation. However, the output of this method depends on the frequency of operation, the choice of regularization parameter,and it is unable to produce satisfactory results for objects with complex shapes. To overcome this drawback, a deep learning approach is used in this work, which can produce a better output in terms of accuracy, resolution. Here, the rough estimate of the PEC scatterer obtained using LSM is used to train the U-Net based convolutional neural network, which maps this output with the corresponding ground truth profiles. The proposed hybrid model is validated using several examples of synthetic and experimental data.en
dc.formattextcs
dc.format.extent89-99cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2024 vol. 33, iss. 1, s. 89-99. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2024.0089en
dc.identifier.issn1210-2512
dc.identifier.urihttps://hdl.handle.net/11012/245647
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2024/24_01_0089_0099.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectDeep Learningen
dc.subjectlinear sampling methoden
dc.subjectPECen
dc.subjectmicrowave imagingen
dc.titleDeep Learning Assisted Linear Sampling Method for the Reconstruction of Perfect Electric Conductorsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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