001     59096
005     20180211182954.0
024 7 _ |2 DOI
|a 10.1109/TGRS.2006.888136
024 7 _ |2 WOS
|a WOS:000244545900017
037 _ _ |a PreJuSER-59096
041 _ _ |a eng
082 _ _ |a 550
084 _ _ |2 WoS
|a Geochemistry & Geophysics
084 _ _ |2 WoS
|a Engineering, Electrical & Electronic
084 _ _ |2 WoS
|a Remote Sensing
100 1 _ |a Lopera, O.
|b 0
|0 P:(DE-HGF)0
245 _ _ |a Filtering Soil Surface and Antenna Effects From GPR Data to Enhance Landmine Detection
260 _ _ |a New York, NY
|b IEEE
|c 2007
300 _ _ |a 707 - 717
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
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336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |a IEEE Transactions on Geoscience and Remote Sensing
|x 0196-2892
|0 17961
|y 3
|v 45
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a The detection of antipersonnel landmines using ground-penetrating radar (GPR) is particularly hindered by the predominant soil surface and antenna reflections. In this paper, we propose a novel approach to filter out these effects from 2-D off-ground monostatic GPR data by adapting and combining the radar antenna subsurface model of Lambot et al. with phase-shift migration. First, the antenna multiple reflections originating from the antenna itself and from the interaction between the antenna and the ground are removed using linear transfer functions. Second, a simulated Green's function accounting for the surface reflection is subtracted. The Green's function is derived from the estimated soil surface dielectric permittivity using full-wave inversion of the radar signal for a measurement taken in a local landmine-free area. Third, off-ground phase-shift migration is performed on the 2-D data to filter the effect of the antenna radiation pattern. We validate the approach in laboratory conditions for four differently detectable landmines embedded in a sandy soil. Compared to traditional background subtraction, this new filtering method permits a better differentiation of the landmine and estimation of its depth and geometrical properties. This is particularly beneficial for the detection of landmines in low-contrast conditions.
536 _ _ |a Terrestrische Umwelt
|c P24
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588 _ _ |a Dataset connected to Web of Science
650 _ 7 |a J
|2 WoSType
653 2 0 |2 Author
|a clutter reduction
653 2 0 |2 Author
|a ground-penetrating radar (GPR)
653 2 0 |2 Author
|a inverse modeling
653 2 0 |2 Author
|a landmine detection
653 2 0 |2 Author
|a phase-shift migration
700 1 _ |a Slob, E. C.
|b 1
|0 P:(DE-HGF)0
700 1 _ |a Milisavljevic, N.
|b 2
|0 P:(DE-HGF)0
700 1 _ |a Lambot, S.
|b 3
|u FZJ
|0 P:(DE-Juel1)VDB54976
773 _ _ |a 10.1109/TGRS.2006.888136
|g Vol. 45, p. 707 - 717
|p 707 - 717
|q 45<707 - 717
|0 PERI:(DE-600)2027520-1
|t IEEE transactions on geoscience and remote sensing
|v 45
|y 2007
|x 0196-2892
856 7 _ |u http://dx.doi.org/10.1109/TGRS.2006.888136
909 C O |o oai:juser.fz-juelich.de:59096
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913 1 _ |k P24
|v Terrestrische Umwelt
|l Terrestrische Umwelt
|b Erde und Umwelt
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|x 0
914 1 _ |y 2007
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |k ICG-4
|l Agrosphäre
|d 31.10.2010
|g ICG
|0 I:(DE-Juel1)VDB793
|x 1
970 _ _ |a VDB:(DE-Juel1)93048
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980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)IBG-3-20101118
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)IBG-3-20101118


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