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Article: Study of resolution and super resolution in electromagnetic imaging for half-space problems

TitleStudy of resolution and super resolution in electromagnetic imaging for half-space problems
Authors
KeywordsFar-Field Measurement
Image Resolution
Linear Inverse Scattering
Near-Field Measurement
Nonlinear Inverse Scattering
Super Resolution
Issue Date2004
Citation
Ieee Transactions On Antennas And Propagation, 2004, v. 52 n. 6, p. 1398-1411 How to Cite?
AbstractIt has been observed that super resolution is possible in the electromagnetic imaging. In the first part of the paper, the possible resolution of image is investigated in the inversion of far-field data using the diffraction tomographic (DT) algorithm, where two cases are considered when the object is in a homogeneous space and in an air-earth half space. The study shows that the resolution of image for inversion of far-field data has been limited theoretically to 0.3536-0.5 wavelength using the DT algorithm in homogeneous-space problems, and it is even worse in half-space problems. If the transmitters and receivers are located in the near-field regime, however, the image resolution is less than 0.25 wavelength, which is the super-resolution phenomenon. In the second part of the paper, the physical reason for the super-resolution phenomenon is investigated using different electromagnetic inverse scattering methods. The study has demonstrated that the information of evanescent waves in the measurement data and its involvement in inversion algorithms is the main reason for the super resolution. Four inversion algorithms are considered for half-space problems: the DT algorithm, the spatial-domain Born approximation (BA), the Born iterative method (BIM), and the distorted BIM (DBIM). The first two belong to linear inverse scattering, while the last two belong to nonlinear inverse scattering. Further analysis shows that DBIM provides a better super resolution than BIM, and BIM provides a better super resolution than BA. Numerical simulations validate the above conclusions.
Persistent Identifierhttp://hdl.handle.net/10722/182720
ISSN
2015 Impact Factor: 2.053
2015 SCImago Journal Rankings: 2.130
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorCui, TJen_US
dc.contributor.authorChew, WCen_US
dc.contributor.authorYin, XXen_US
dc.contributor.authorHong, Wen_US
dc.date.accessioned2013-05-02T05:16:35Z-
dc.date.available2013-05-02T05:16:35Z-
dc.date.issued2004en_US
dc.identifier.citationIeee Transactions On Antennas And Propagation, 2004, v. 52 n. 6, p. 1398-1411en_US
dc.identifier.issn0018-926Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/182720-
dc.description.abstractIt has been observed that super resolution is possible in the electromagnetic imaging. In the first part of the paper, the possible resolution of image is investigated in the inversion of far-field data using the diffraction tomographic (DT) algorithm, where two cases are considered when the object is in a homogeneous space and in an air-earth half space. The study shows that the resolution of image for inversion of far-field data has been limited theoretically to 0.3536-0.5 wavelength using the DT algorithm in homogeneous-space problems, and it is even worse in half-space problems. If the transmitters and receivers are located in the near-field regime, however, the image resolution is less than 0.25 wavelength, which is the super-resolution phenomenon. In the second part of the paper, the physical reason for the super-resolution phenomenon is investigated using different electromagnetic inverse scattering methods. The study has demonstrated that the information of evanescent waves in the measurement data and its involvement in inversion algorithms is the main reason for the super resolution. Four inversion algorithms are considered for half-space problems: the DT algorithm, the spatial-domain Born approximation (BA), the Born iterative method (BIM), and the distorted BIM (DBIM). The first two belong to linear inverse scattering, while the last two belong to nonlinear inverse scattering. Further analysis shows that DBIM provides a better super resolution than BIM, and BIM provides a better super resolution than BA. Numerical simulations validate the above conclusions.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Transactions on Antennas and Propagationen_US
dc.subjectFar-Field Measurementen_US
dc.subjectImage Resolutionen_US
dc.subjectLinear Inverse Scatteringen_US
dc.subjectNear-Field Measurementen_US
dc.subjectNonlinear Inverse Scatteringen_US
dc.subjectSuper Resolutionen_US
dc.titleStudy of resolution and super resolution in electromagnetic imaging for half-space problemsen_US
dc.typeArticleen_US
dc.identifier.emailChew, WC: wcchew@hku.hken_US
dc.identifier.authorityChew, WC=rp00656en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/TAP.2004.829847en_US
dc.identifier.scopuseid_2-s2.0-2942741306en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-2942741306&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume52en_US
dc.identifier.issue6en_US
dc.identifier.spage1398en_US
dc.identifier.epage1411en_US
dc.identifier.isiWOS:000221857300002-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridCui, TJ=7103095470en_US
dc.identifier.scopusauthoridChew, WC=36014436300en_US
dc.identifier.scopusauthoridYin, XX=7401674297en_US
dc.identifier.scopusauthoridHong, W=36077687100en_US

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