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000015992 0247_ $$2DOI$$a10.1109/TGRS.2010.2051675
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000015992 084__ $$2WoS$$aGeochemistry & Geophysics
000015992 084__ $$2WoS$$aEngineering, Electrical & Electronic
000015992 084__ $$2WoS$$aRemote Sensing
000015992 1001_ $$0P:(DE-HGF)0$$aSoldovieri, F.$$b0
000015992 245__ $$aCombination of Advanced Inversion Techniques for an Accurate Target Localization via GPR for Demining Applications
000015992 260__ $$aNew York, NY$$bIEEE$$c2011
000015992 300__ $$a451 - 461
000015992 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000015992 440_0 $$017961$$aIEEE Transactions on Geoscience and Remote Sensing$$v49$$x0196-2892$$y1
000015992 500__ $$3POF3_Assignment on 2016-02-29
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000015992 520__ $$aWe used advanced ground-penetrating radar (GPR) inversion techniques for detecting landmines in laboratory conditions. The radar data were acquired with a calibrated vector network analyzer combined with an off-ground monostatic horn antenna, thereby setting up a stepped-frequency continuous-wave radar. Major antenna effects and interactions with the soil and targets were filtered out using frequency-dependent complex antenna transfer functions. The proposed strategy first exploits inversion approaches that are able to give an accurate characterization of the antenna-soil interaction and a reliable estimate of the soil permittivity. The outcomes of this first phase are at the basis of the application of a microwave tomographic approach based on the Born approximation to achieve the imaging of the subsurface. The algorithms were applied for imaging three landmines of different sizes and buried at different depths in sand. Although the radar system was off the ground, the results showed that it was possible to reconstruct all mines, including a shallow plastic mine as small as 5.6 cm in diameter. This last mine was invisible in the raw radar data, and the use of common GPR imaging techniques did not lead to satisfactory results. The proposed integrated method shows great promise for shallow subsurface imaging in a demining context, particularly because it automatically provides accurate information on the shallow soil dielectric permittivity.
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000015992 65320 $$2Author$$aFrequency domain
000015992 65320 $$2Author$$aground-penetrating radar (GPR)
000015992 65320 $$2Author$$ainverse modeling
000015992 65320 $$2Author$$amicrowave tomography
000015992 65320 $$2Author$$asoil dielectric properties
000015992 65320 $$2Author$$asoil water content
000015992 7001_ $$0P:(DE-HGF)0$$aLopera, O.$$b1
000015992 7001_ $$0P:(DE-Juel1)VDB54976$$aLambot, S.$$b2$$uFZJ
000015992 773__ $$0PERI:(DE-600)2027520-1$$a10.1109/TGRS.2010.2051675$$gVol. 49, p. 451 - 461$$p451 - 461$$q49<451 - 461$$tIEEE transactions on geoscience and remote sensing$$v49$$x0196-2892$$y2011
000015992 8567_ $$uhttp://dx.doi.org/10.1109/TGRS.2010.2051675
000015992 909CO $$ooai:juser.fz-juelich.de:15992$$pVDB$$pVDB:Earth_Environment
000015992 9131_ $$0G:(DE-Juel1)FUEK407$$bErde und Umwelt$$kP24$$lTerrestrische Umwelt$$vTerrestrische Umwelt$$x0
000015992 9132_ $$0G:(DE-HGF)POF3-259H$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lTerrestrische Umwelt$$vAddenda$$x0
000015992 9141_ $$y2011
000015992 915__ $$0StatID:(DE-HGF)0010$$aJCR/ISI refereed
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