Detection of object symmetry using bistatic and polarimetric GPR observations

James M. Stiles; Paola Parra-Bocaranda; Abhijit Apte

doi:10.1117/12.357118

2 August 1999 Detection of object symmetry using bistatic and polarimetric GPR observations

James M. Stiles, Paola Parra-Bocaranda, Abhijit Apte

Proceedings Volume 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV; (1999) https://doi.org/10.1117/12.357118
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

It has been demonstrated that GPR is an effective sensor for detecting the presence of sub-surface objects. Although this ability is important in regard to mine detection and location, in high clutter environments the false alarm rate from GPR can potentially be unacceptably large. Therefore, an ideal sensor would provide sufficient information not only to detect subsurface objects, but additionally to identify the objects as either a mine or a benign clutter object. To accomplish this for GPR sensor, it is noted that mines exhibit a level of vertical symmetry that is not prevalent in other clutter targets. These symmetric targets have specific polarimetric and bistatic response that are independent of size, shape, dielectric, or target depth. A set of bistatic, polarimetric, GPR observations can be used to identify these specific responses and thus potentially identify objects with planes of vertical symmetries. To examine the efficacy of this target identification technique, an FDTD solution was used to simulate the polarimetric and bistatic scattering form symmetric and asymmetric targets. Analytical measures were developed in order to express numerically the apparent symmetry of a subsurface object, and the detection performance of these measures were evaluated in terms of Receiver Operation Curves. Finally, results using measured GPR data were evaluated.

Citation Download Citation

James M. Stiles, Paola Parra-Bocaranda, and Abhijit Apte "Detection of object symmetry using bistatic and polarimetric GPR observations", Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); https://doi.org/10.1117/12.357118

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