IEICE TRANSACTIONS on Communications
A Method for Detecting Shallowly Buried Landmines Using Sequential GPR Data
Summary :
A method for detecting shallowly buried landmines using sequential ground penetrating radar (GPR) data is presented. After removing a dominant coherent component arising from the ground surface reflection from the GPR data, three kinds of target features related to wave correlation, energy ratio, and signal arrival time are extracted. Since the detection problem treated here is reduced to a binary hypothesis test, an approach based on a likelihood ratio test is employed as a detection algorithm. In order to check the detection performance, a Monte Carlo simulation is carried out for data generated by a two-dimensional finite-difference time domain (FDTD) method. Results given in the form of receiver operating characteristic (ROC) curves show that good detection performance is obtained even for landmines buried at shallow depths under rough ground surfaces, where the responses from the landmines and that from the ground surface overlap in time.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E88-B No.6 pp.2362-2368
- Publication Date
- 2005/06/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietcom/e88-b.6.2362
- Type of Manuscript
- Special Section PAPER (Special Section on 2004 International Symposium on Antennas and Propagation)
- Category
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Masahiko NISHIMOTO, Ken-ichiro SHIMO, "A Method for Detecting Shallowly Buried Landmines Using Sequential GPR Data" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 6, pp. 2362-2368, June 2005, doi: 10.1093/ietcom/e88-b.6.2362.
Abstract: A method for detecting shallowly buried landmines using sequential ground penetrating radar (GPR) data is presented. After removing a dominant coherent component arising from the ground surface reflection from the GPR data, three kinds of target features related to wave correlation, energy ratio, and signal arrival time are extracted. Since the detection problem treated here is reduced to a binary hypothesis test, an approach based on a likelihood ratio test is employed as a detection algorithm. In order to check the detection performance, a Monte Carlo simulation is carried out for data generated by a two-dimensional finite-difference time domain (FDTD) method. Results given in the form of receiver operating characteristic (ROC) curves show that good detection performance is obtained even for landmines buried at shallow depths under rough ground surfaces, where the responses from the landmines and that from the ground surface overlap in time.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.6.2362/_p
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@ARTICLE{e88-b_6_2362,
author={Masahiko NISHIMOTO, Ken-ichiro SHIMO, },
journal={IEICE TRANSACTIONS on Communications},
title={A Method for Detecting Shallowly Buried Landmines Using Sequential GPR Data},
year={2005},
volume={E88-B},
number={6},
pages={2362-2368},
abstract={A method for detecting shallowly buried landmines using sequential ground penetrating radar (GPR) data is presented. After removing a dominant coherent component arising from the ground surface reflection from the GPR data, three kinds of target features related to wave correlation, energy ratio, and signal arrival time are extracted. Since the detection problem treated here is reduced to a binary hypothesis test, an approach based on a likelihood ratio test is employed as a detection algorithm. In order to check the detection performance, a Monte Carlo simulation is carried out for data generated by a two-dimensional finite-difference time domain (FDTD) method. Results given in the form of receiver operating characteristic (ROC) curves show that good detection performance is obtained even for landmines buried at shallow depths under rough ground surfaces, where the responses from the landmines and that from the ground surface overlap in time.},
keywords={},
doi={10.1093/ietcom/e88-b.6.2362},
ISSN={},
month={June},}
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TY - JOUR
TI - A Method for Detecting Shallowly Buried Landmines Using Sequential GPR Data
T2 - IEICE TRANSACTIONS on Communications
SP - 2362
EP - 2368
AU - Masahiko NISHIMOTO
AU - Ken-ichiro SHIMO
PY - 2005
DO - 10.1093/ietcom/e88-b.6.2362
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2005
AB - A method for detecting shallowly buried landmines using sequential ground penetrating radar (GPR) data is presented. After removing a dominant coherent component arising from the ground surface reflection from the GPR data, three kinds of target features related to wave correlation, energy ratio, and signal arrival time are extracted. Since the detection problem treated here is reduced to a binary hypothesis test, an approach based on a likelihood ratio test is employed as a detection algorithm. In order to check the detection performance, a Monte Carlo simulation is carried out for data generated by a two-dimensional finite-difference time domain (FDTD) method. Results given in the form of receiver operating characteristic (ROC) curves show that good detection performance is obtained even for landmines buried at shallow depths under rough ground surfaces, where the responses from the landmines and that from the ground surface overlap in time.
ER -
English
