It has been demonstrated that ground-penetrating radar (GPR) is an effective sensor for detecting the presence of subsurface 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 was evaluated in terms of Receiver Operation Curves. Finally, results using measured GPR data were evaluated.
Detection of object symmetry using bistatic and polarimetric GPR observations
1999
11 Seiten, 15 Quellen
Conference paper
English
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