Presentation + Paper
30 April 2018 Inside-the-wall detection of objects with low metal content using the GPR sensor: effects of different wall structures on the detection performance
Mesut Dogan, Omer Yesilyurt, Gonul Turhan-Sayan
Author Affiliations +
Abstract
Ground penetrating radar (GPR) is an ultra-wideband electromagnetic sensor used not only for subsurface sensing but also for the detection of objects which may be hidden behind a wall or inserted within the wall. Such applications of the GPR technology are used in both military and civilian operations such as mine or IED (improvised explosive device) detection, rescue missions after earthquakes and investigation of archeological sites. Detection of concealed objects with low metal content is known to be a challenging problem in general. Use of A-scan, B-scan and C-scan GPR data in combination provides valuable information for target recognition in such applications. In this paper, we study the problem of target detection for potentially explosive objects embedded inside a wall. GPR data is numerically simulated by using an FDTD-based numerical computation tool when dielectric targets and targets with low metal content are inserted into different types of walls. A small size plastic bottle filled with trinitrotoluene (TNT) is used as the target with and without a metal fuse in it. The targets are buried into two different types of wall; a homogeneous brick wall and an inhomogeneous wall constructed by bricks having periodically located air holes in it. Effects of using an inhomogeneous wall structure with internal boundaries are investigated as a challenging scenario, paying special attention to preprocessing.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mesut Dogan, Omer Yesilyurt, and Gonul Turhan-Sayan "Inside-the-wall detection of objects with low metal content using the GPR sensor: effects of different wall structures on the detection performance", Proc. SPIE 10628, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII, 1062803 (30 April 2018); https://doi.org/10.1117/12.2304611
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KEYWORDS
Target detection

Metals

Signal detection

Reflection

Computer simulations

Sensors

Improvised explosive devices

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