HEAL DSpace

Development of a new efficient numerical approach for buried object recognition

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dc.contributor.author Tabatadze, V en
dc.contributor.author Kakulia, D en
dc.contributor.author Saparishvili, G en
dc.contributor.author Zaridze, R en
dc.contributor.author Uzunoglou, N en
dc.date.accessioned 2014-03-01T01:35:30Z
dc.date.available 2014-03-01T01:35:30Z
dc.date.issued 2011 en
dc.identifier.issn 15572064 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/21086
dc.subject Holographic method en
dc.subject Photographic method en
dc.subject Soil characteristic determination en
dc.subject.other Analytical continuation en
dc.subject.other Experimental measurements en
dc.subject.other High resolution image en
dc.subject.other Holographic method en
dc.subject.other Numerical approaches en
dc.subject.other Photographic method en
dc.subject.other Recognition device en
dc.subject.other Reflected pulse en
dc.subject.other Research efforts en
dc.subject.other Scattered field en
dc.subject.other Soil characteristic determination en
dc.subject.other Soil property en
dc.subject.other Data handling en
dc.subject.other Image recognition en
dc.subject.other Object recognition en
dc.subject.other Remote sensing en
dc.subject.other Visualization en
dc.subject.other Computer simulation en
dc.title Development of a new efficient numerical approach for buried object recognition en
heal.type journalArticle en
heal.identifier.primary 10.1007/s11220-011-0060-7 en
heal.identifier.secondary http://dx.doi.org/10.1007/s11220-011-0060-7 en
heal.publicationDate 2011 en
heal.abstract A new approach of remote sensing for buried bodies by means of reflected pulses is presented in this article. This method is based on the concept of a scattered field's analytical continuation (Zaridze et al. in IEEE Trans Antennas Propag 50(1):50-58, 4). Soil properties were deduced using data processing and these properties analyzed. Computer simulation results of both holographic and combined holographic/photographic methods for immersed body visualizations are presented. Several ways to simplify the experimental measurements are also presented. All of these research efforts are directed towards creating a software package for high resolution image recognition devices. © Springer Science+Business Media, LLC 2011. en
heal.journalName Sensing and Imaging en
dc.identifier.doi 10.1007/s11220-011-0060-7 en
dc.identifier.volume 12 en
dc.identifier.issue 1-2 en
dc.identifier.spage 35 en
dc.identifier.epage 56 en


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