dc.contributor.author | Giannakis, Iraklis | |
dc.contributor.author | Giannopoulos, Antonios | |
dc.contributor.author | Yarovoy, Alexander | |
dc.date.accessioned | 2020-04-15T09:00:01Z | |
dc.date.available | 2020-04-15T09:00:01Z | |
dc.date.issued | 2016-06 | |
dc.identifier | 160731153 | |
dc.identifier | f933e484-fc97-4fa7-981a-029f56401db0 | |
dc.identifier | 84969332172 | |
dc.identifier.citation | Giannakis , I , Giannopoulos , A & Yarovoy , A 2016 , ' Model-Based Evaluation of Signal-to-Clutter Ratio for Landmine Detection Using Ground-Penetrating Radar ' , IEEE Transactions on Geoscience and Remote Sensing , vol. 54 , no. 6 , pp. 3564-3573 . https://doi.org/10.1109/TGRS.2016.2520298 | en |
dc.identifier.issn | 1558-0644 | |
dc.identifier.other | ORCID: /0000-0002-7672-8992/work/147566867 | |
dc.identifier.uri | https://hdl.handle.net/2164/14074 | |
dc.description | This paper has been prepared in the frame of the FP7 project D-BOX under Grant agreement 284996. ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their valuable comments and suggestions. | en |
dc.format.extent | 10 | |
dc.format.extent | 5860807 | |
dc.language.iso | eng | |
dc.relation.ispartof | IEEE Transactions on Geoscience and Remote Sensing | en |
dc.subject | Artificial neural networks (ANNs) | en |
dc.subject | clutter | en |
dc.subject | finite-difference time domain (FDTD) | en |
dc.subject | fractals | en |
dc.subject | ground-penetrating radar (GPR) | en |
dc.subject | landmines | en |
dc.subject | regression | en |
dc.subject | signal-to-clutter ratio (SCR) | en |
dc.subject | QE Geology | en |
dc.subject.lcc | QE | en |
dc.title | Model-Based Evaluation of Signal-to-Clutter Ratio for Landmine Detection Using Ground-Penetrating Radar | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Geology and Geophysics | en |
dc.description.status | Peer reviewed | en |
dc.identifier.doi | 10.1109/TGRS.2016.2520298 | |
dc.date.embargoedUntil | 2017-02-11 | |