Convolutional Models for Landmine Identification with Ground Penetrating Radar

Convolutional Models for Landmine
Identification with Ground Penetrating Radar

By Friedrich Roth
December 2004
Delft University Press
ISBN: 9040725683
174 pages, Illustrated, 6 ½ x 9 ½"
$79.50 Paper Original

This is a Ph.D. dissertation. Contents include: The global landmine problem, Current demining techniques, Ground penetrating radar (GPR) for landmine detection and identification, The GPR response of a landmine and its use for target identification, Scope of the research, Thesis outline, Scattering from a homogeneous minelike target, Convolutional models for backscattering from a buried minelike target, deconvolutional and target characterization, 3D finite-difference time-domain (FDTD) simulation results and verification, Host medium transformation of the response of a dielectric minelike target, Scattering from a minelike target with internal structure, Convolutional models for backscattering from a buried dielectric minelike target with internal structure, Deconvolution and target characterization, 3D finite-difference time-domain (FDTD) simulation results and verification, GPR landmine identification, GPR hardware, Convolutional GPR models, preprocessing, Deconvolution and target characterization, Experimental results and validation, Data acquisition, Data analysis, Overview of the research results and recommendations.

Geophysics

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