The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Um método para reduzir a contribuição de interferência no solo a partir de dados de radar de penetração no solo (GPR) é proposto para discriminação de minas terrestres localizadas em profundidades rasas. O algoritmo deste método é baseado no Matching Pursuit (MP) que é uma técnica de decomposição não ortogonal de sinais utilizando dicionário de funções. Como dicionário de função, é empregado um dicionário baseado em ondas construído levando em consideração os mecanismos de dispersão de ondas eletromagnéticas (EM) por superfícies rugosas. Através de simulações numéricas, o desempenho da redução da obstrução do solo é avaliado. Os resultados mostram que o método proposto tem bom desempenho e é eficaz para pré-processamento de dados GPR para discriminação de minas terrestres enterradas superficialmente.
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Masahiko NISHIMOTO, Vakhtang JANDIERI, "Ground Clutter Reduction from GPR Data for Identification of Shallowly Buried Landmines" in IEICE TRANSACTIONS on Electronics,
vol. E93-C, no. 1, pp. 85-88, January 2010, doi: 10.1587/transele.E93.C.85.
Abstract: A method for reducing ground clutter contribution from ground penetrating radar (GPR) data is proposed for discrimination of landmines located in shallow depth. The algorithm of this method is based on the Matching Pursuit (MP) that is a technique for non-orthogonal signal decomposition using dictionary of functions. As the dictionary of function, a wave-based dictionary constructed by taking account of scattering mechanisms of electromagnetic (EM) wave by rough surfaces is employed. Through numerical simulations, performance of ground clutter reduction is evaluated. The results show that the proposed method has good performance and is effective for GPR data preprocessing for discrimination of shallowly buried landmines.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E93.C.85/_p
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@ARTICLE{e93-c_1_85,
author={Masahiko NISHIMOTO, Vakhtang JANDIERI, },
journal={IEICE TRANSACTIONS on Electronics},
title={Ground Clutter Reduction from GPR Data for Identification of Shallowly Buried Landmines},
year={2010},
volume={E93-C},
number={1},
pages={85-88},
abstract={A method for reducing ground clutter contribution from ground penetrating radar (GPR) data is proposed for discrimination of landmines located in shallow depth. The algorithm of this method is based on the Matching Pursuit (MP) that is a technique for non-orthogonal signal decomposition using dictionary of functions. As the dictionary of function, a wave-based dictionary constructed by taking account of scattering mechanisms of electromagnetic (EM) wave by rough surfaces is employed. Through numerical simulations, performance of ground clutter reduction is evaluated. The results show that the proposed method has good performance and is effective for GPR data preprocessing for discrimination of shallowly buried landmines.},
keywords={},
doi={10.1587/transele.E93.C.85},
ISSN={1745-1353},
month={January},}
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TY - JOUR
TI - Ground Clutter Reduction from GPR Data for Identification of Shallowly Buried Landmines
T2 - IEICE TRANSACTIONS on Electronics
SP - 85
EP - 88
AU - Masahiko NISHIMOTO
AU - Vakhtang JANDIERI
PY - 2010
DO - 10.1587/transele.E93.C.85
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E93-C
IS - 1
JA - IEICE TRANSACTIONS on Electronics
Y1 - January 2010
AB - A method for reducing ground clutter contribution from ground penetrating radar (GPR) data is proposed for discrimination of landmines located in shallow depth. The algorithm of this method is based on the Matching Pursuit (MP) that is a technique for non-orthogonal signal decomposition using dictionary of functions. As the dictionary of function, a wave-based dictionary constructed by taking account of scattering mechanisms of electromagnetic (EM) wave by rough surfaces is employed. Through numerical simulations, performance of ground clutter reduction is evaluated. The results show that the proposed method has good performance and is effective for GPR data preprocessing for discrimination of shallowly buried landmines.
ER -