A Neural Network-Based Microwave Imaging Method for Object Localization
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 손원형 | - |
dc.contributor.author | 박원광 | - |
dc.contributor.author | 손성호 | - |
dc.date.accessioned | 2022-11-29T06:41:38Z | - |
dc.date.available | 2022-11-29T06:41:38Z | - |
dc.date.issued | 2022-09 | - |
dc.identifier.issn | 2671-7255 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/21871 | - |
dc.description.abstract | This paper presents a new microwave imaging method using artificial neural networks to localize an object. The trained neural network reconstructs a tomographic image from the measured scattering data, such as a nonlinear electromagnetic inverse scattering solver. The appropriate number of hidden neurons is determined through the cross-entropy between network predictions and target values. To verify this method experimentally, we set up a testbed consisting of 16 antennas that transmit and receive 950 MHz microwaves underwater and used a metal rod with a diameter of 2 mm as a localizing target. The results show excellent imaging performance with fewer artifacts and less than a 2-mm localization error. | - |
dc.format.extent | 4 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | KOREAN INST ELECTROMAGNETIC ENGINEERING & SCIENCE | - |
dc.title | A Neural Network-Based Microwave Imaging Method for Object Localization | - |
dc.title.alternative | A Neural Network-Based Microwave Imaging Method for Object Localization | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.doi | 10.26866/jees.2022.5.r.125 | - |
dc.identifier.scopusid | 2-s2.0-85140029518 | - |
dc.identifier.wosid | 000890500700007 | - |
dc.identifier.bibliographicCitation | Journal of Electromagnetic Engineering and Science, v.22, no.5, pp 576 - 579 | - |
dc.citation.title | Journal of Electromagnetic Engineering and Science | - |
dc.citation.volume | 22 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 576 | - |
dc.citation.endPage | 579 | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002886116 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordAuthor | Artificial Neural Networks | - |
dc.subject.keywordAuthor | Inverse Scattering | - |
dc.subject.keywordAuthor | Microwave Imaging | - |
dc.subject.keywordAuthor | Object Localization. | - |
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