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GPR data enhancement via multiple reflections' filtering
Author(s) -
Caorsi Salvatore,
Stasolla Mattia
Publication year - 2013
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.20728
Subject(s) - stack (abstract data type) , ground penetrating radar , computer science , scope (computer science) , identification (biology) , microwave , algorithm , microwave imaging , point (geometry) , stripping (fiber) , state (computer science) , layer (electronics) , data mining , artificial intelligence , mathematics , engineering , materials science , radar , telecommunications , electrical engineering , botany , geometry , composite material , biology , programming language
Based on a classification methodology for multiple reflections' (MR) identification recently published by the authors, this work proposes a filtering technique for GPR data to be integrated within the layer stripping (LS) approach. In LS, the reconstruction of the dielectric stack is obtained by recursively inverting the signals backscattered by each layer, from the top to the bottom. According to the state‐of‐the‐art, to simplify the solution of the problem, MR are commonly neglected. The scope of this article is therefore to first discuss the implementation of the MR filtering procedure within a LS algorithm and evaluate from the quantitative point of view which improvements this will yield to the overall performances. © 2013 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2013.