@article{ART002998447},
author={Seung Hwan Lee and Oh, Chae Gon},
title={A study on the Detection and Visualization of Buried Objects Using 2.5D Template Matching Techniques},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2023},
volume={19},
number={3},
pages={95-103},
doi={10.29056/jsav.2023.09.11}
TY - JOUR
AU - Seung Hwan Lee
AU - Oh, Chae Gon
TI - A study on the Detection and Visualization of Buried Objects Using 2.5D Template Matching Techniques
JO - Journal of Software Assessment and Valuation
PY - 2023
VL - 19
IS - 3
PB - Korea Software Assessment and Valuation Society
SP - 95
EP - 103
SN - 2092-8114
AB - Ground-Penetrating Radar(GPR) system can detect buried objects such as underground cavities and mines by emitting electromagnetic waves and visualizing signals reflected from underground facilities by emitting electromagnetic waves. But in order to distinguish buried objects, it is necessary to understand signal patterns for each target and it is difficult to detect signal patterns for each target in real time. In this study, adaptive signal processing technique is applied to reduce the effect of non-uniform clutter signals on images to increase the visibility of target signals, and energy profile extraction technique is used to simplify the identification of target signals. In addition, the 2.5D template matching technique is applied to calculate matching rate of the detected object. Several objects selected in soil-filled test sites were buried in various locations to confirm their performance through real-time detection software, and it is expected to be applied to mine detection systems using real-time automatic exploration in the future.
KW - multi-channel ground penetrating radar;buried object detection;adaptive signal processing;template matching;visualizing
DO - 10.29056/jsav.2023.09.11
ER -
Seung Hwan Lee and Oh, Chae Gon. (2023). A study on the Detection and Visualization of Buried Objects Using 2.5D Template Matching Techniques. Journal of Software Assessment and Valuation, 19(3), 95-103.
Seung Hwan Lee and Oh, Chae Gon. 2023, "A study on the Detection and Visualization of Buried Objects Using 2.5D Template Matching Techniques", Journal of Software Assessment and Valuation, vol.19, no.3 pp.95-103. Available from: doi:10.29056/jsav.2023.09.11
Seung Hwan Lee, Oh, Chae Gon "A study on the Detection and Visualization of Buried Objects Using 2.5D Template Matching Techniques" Journal of Software Assessment and Valuation 19.3 pp.95-103 (2023) : 95.
Seung Hwan Lee, Oh, Chae Gon. A study on the Detection and Visualization of Buried Objects Using 2.5D Template Matching Techniques. 2023; 19(3), 95-103. Available from: doi:10.29056/jsav.2023.09.11
Seung Hwan Lee and Oh, Chae Gon. "A study on the Detection and Visualization of Buried Objects Using 2.5D Template Matching Techniques" Journal of Software Assessment and Valuation 19, no.3 (2023) : 95-103.doi: 10.29056/jsav.2023.09.11
Seung Hwan Lee; Oh, Chae Gon. A study on the Detection and Visualization of Buried Objects Using 2.5D Template Matching Techniques. Journal of Software Assessment and Valuation, 19(3), 95-103. doi: 10.29056/jsav.2023.09.11
Seung Hwan Lee; Oh, Chae Gon. A study on the Detection and Visualization of Buried Objects Using 2.5D Template Matching Techniques. Journal of Software Assessment and Valuation. 2023; 19(3) 95-103. doi: 10.29056/jsav.2023.09.11
Seung Hwan Lee, Oh, Chae Gon. A study on the Detection and Visualization of Buried Objects Using 2.5D Template Matching Techniques. 2023; 19(3), 95-103. Available from: doi:10.29056/jsav.2023.09.11
Seung Hwan Lee and Oh, Chae Gon. "A study on the Detection and Visualization of Buried Objects Using 2.5D Template Matching Techniques" Journal of Software Assessment and Valuation 19, no.3 (2023) : 95-103.doi: 10.29056/jsav.2023.09.11
