IEICE TRANSACTIONS on Electronics
Ground Clutter Reduction from GPR Data for Identification of Shallowly Buried Landmines
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E93-C No.1 pp.85-88
- Publication Date
- 2010/01/01
- Publicized
- Online ISSN
- 1745-1353
- DOI
- 10.1587/transele.E93.C.85
- Type of Manuscript
- BRIEF PAPER
- Category
Authors
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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},}
Copy
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 -
English
