Share Email Print

Proceedings Paper

Detection of symmetrical objects using the bistatic multipolarimetric reverse-time migration imaging technique
Author(s): Beng Beh; Tyson Malik; James Kreycik; James M. Stiles
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

An ideal sensor for mine detection would not only provide sufficient information to detect subsurface objects, but also to identify the object as a mine or a clutter object. Without this ability, the sensor will suffer from an unacceptably high false alarm rate in a high clutter environment. This capability to discriminate can be accomplished by taking into account the fact that most landmines have vertical planes of symmetry that are not found in other natural objects. There are specific scattering responses from a symmetric object that are independent of size, shape, dielectric or target depth. A target identification technique has been developed to exploit this feature using sets of bistatic and multipolarimetric data collected by GPR. The data sets are grouped into various subarrays and synthesized into a subsurface image using a 3D FDTD-based Multipolarimetric Reverse-Time Migration imaging techniques. These subarrays will be combined to from multiple mirrored elements to detect the presence of vertical symmetry. A measurement method was developed to represent numerically the level of symmetry associated with the subsurface object. These sets of numerical values, together with the total scattering response, can be used to from a false color image that locates and identifies the presence of a mine. Simulated results demonstrate the potential of this method.

Paper Details

Date Published: 22 August 2000
PDF: 9 pages
Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); doi: 10.1117/12.396187
Show Author Affiliations
Beng Beh, Univ. of Kansas (United States)
Tyson Malik, Univ. of Kansas (United States)
James Kreycik, Univ. of Kansas (United States)
James M. Stiles, Univ. of Kansas (United States)

Published in SPIE Proceedings Vol. 4038:
Detection and Remediation Technologies for Mines and Minelike Targets V
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

© SPIE. Terms of Use
Back to Top