A study on the construction of multi-channel GPR plan view images for underground object detection (지하매설물 탐지를 위한 다채널 GPR 평단면 영상 구성에 관한 연구)

Choi Jongsung (최종성); Seung Hwan Lee (이승환); Oh, Chae Gon (오재곤)

doi:10.29056/jsav.2023.09.10

A study on the construction of multi-channel GPR plan view images for underground object detection

Journal of Software Assessment and Valuation
Abbr : JSAV
2023, 19(3), pp.87-94
DOI : 10.29056/jsav.2023.09.10
Publisher : Korea Software Assessment and Valuation Society
Research Area : Engineering > Computer Science
Received : August 28, 2023
Accepted : September 20, 2023
Published : September 30, 2023

Choi Jongsung ¹, Seung Hwan Lee ², Oh, Chae Gon ³

¹(주)이성 연구소
²이성주식회사
³한국공학대학교

Accredited

ABSTRACT

The detection of buried objects using Ground Penetrating Radar utilizes hyperbolic curves visualized by the variation of reflected signals due to the relative distance difference between the antenna and the buried objects. However, these hyperbolic signals are also created by various objects buried underground, making it difficult to identify and detection target. This difficulty can be solved through a plan-view image viewed from above along with the same hyperbolic image for each channel as the existing one created based on the 3D data of multi-channel GPR. In this paper, we discussed the transmitter-receiver antenna array and signal processing procedure for constructing plan-view images using multi-channel GPR for underground object detection. And we also verified the effectiveness of the plan-view images constructed using multi-channel GPR survey data through detection tests on object with known sizes.

KEYWORDS

Ground Penetrating Radar, Multi-channel GPR, Buried Object Detection, GPR Data Signal Processing

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* References for papers published after 2023 are currently being built.

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Journal of Software Assessment and Valuation 2023 KCI Impact Factor : 0.35

A study on the construction of multi-channel GPR plan view images for underground object detection

ABSTRACT

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Citation status

* References for papers published after 2023 are currently being built.

Journal of Software Assessment and Valuation 2023 KCI Impact Factor : 0.35

A study on the construction of multi-channel GPR plan view images for underground object detection

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.