A Novel Principle for Data Processing from Hand-Held Ground Penetrating Radars

Abstract

The goal of this project was to develop a new algorithm of inverse problems to image locations and electrical properties of land mines using GPR data. These parameters, in turn, might be used on a next stage as an input for the classification procedure. Such a method has been developed and tested on models. Accurate images of mine-like targets are demonstrated. Comparison with the best competing algorithm in the field favors the algorithm of this project. The main innovation, as compared with conventional algorithms is the differential rather than conventional integral form of the resulting system. This enables one to obtain solutions in a much shorter time, as compared with the conventional techniques.

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Document Details

Document Type
Technical Report
Publication Date
Jun 26, 2001
Accession Number
ADA395289

Entities

People

  • Michael Klibanov
  • Thomas R. Lucas

Organizations

  • University of North Carolina at Charlotte

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Boundary Value Problems
  • Computational Science
  • Data Processing
  • Detection
  • Dielectric Permittivity
  • Differential Equations
  • Electrical Engineering
  • Electrical Properties
  • Equations
  • Integral Equations
  • Integrals
  • Inverse Problems
  • Land Mines
  • Mathematics
  • Scientists
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Sensor Fusion and Tracking Systems.