2.5차원 템플릿 매칭 기법을 이용한 지하매설물 탐지 및 시각화에 대한 연구
A study on the Detection and Visualization of Buried Objects Using 2.5D Template Matching Techniques
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초록
지표투과레이더 시스템은 전자기파를 방사하여 지하매설물로부터 반사되는 신호를 시각화하여 지하공동및 지뢰 등과 같은 매설물을 탐지할 수 있으나 지하 매설물을 구분하기 위해서는 각 대상에 대한 신호패턴파악이 필요하며 이를 실시간으로 탐지하기에는 어려움이 있다. 본 연구에서는 적응형 신호처리 기법을 적용하여 영상화한 이미지에서 비균일성을 가진 클러터 신호의 영향을 줄여 표적신호의 가시성을 높일 수 있도록하였으며, 에너지 프로파일 추출 기법을 통해 3차원 영상을 2차원 단면 영상으로 구성하여 표적신호의 판별을 단순화하고 2.5D 템플릿 매칭기법을 적용하여 실시간으로 탐지된 대상에 대한 일치율 산출이 가능하도록하였다. 토양으로 채워진 시험장에 선별된 여러 물체를 다양한 위치에 매설하여 실시간 탐지 소프트웨어를통해 그 성능을 확인하였으며, 추후에 실시간 자동탐사 기능을 활용하여 지뢰탐지 시스템에 적용할 수 있을것으로 보인다.
Abstract
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.
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