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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kaedah untuk mengurangkan sumbangan kekacauan tanah daripada data radar penembusan tanah (GPR) dicadangkan untuk diskriminasi periuk api yang terletak di kedalaman cetek. Algoritma kaedah ini adalah berdasarkan Matching Pursuit (MP) iaitu teknik penguraian isyarat bukan ortogon menggunakan kamus fungsi. Sebagai kamus fungsi, kamus berasaskan gelombang yang dibina dengan mengambil kira mekanisme penyerakan gelombang elektromagnet (EM) oleh permukaan kasar digunakan. Melalui simulasi berangka, prestasi pengurangan kekusutan tanah dinilai. Keputusan menunjukkan bahawa kaedah yang dicadangkan mempunyai prestasi yang baik dan berkesan untuk prapemprosesan data GPR untuk diskriminasi periuk api yang tertimbus dangkal.
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Salinan
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
Salinan
@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},}
Salinan
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 -