Discarding Unwanted Features from GPR Images Using 2DPCA and ICA Techniques
Keywords:
Eigenimages, ground penetrating radar, independent component analysis, principal component analysis, and target signal.Abstract
Measurements obtained using ground penetrating
radar (GPR) can suffer from large amount of noise and clutter.
Current methods, such as time gating and background
averaging can be applied to remove reflections from air-ground
interface but do not perform well when removal of unwanted
clutter signals originating from the objects other than the target
is needed. This work describes and evaluates performance of
two signal processing techniques – two-dimensional Principal
Component Analysis (2DPCA) and Independent Component
Analysis (ICA) in this kind of tasks. Experimental data using
simple geometric shapes under laboratory conditions,
containing strong clutter components are used to demonstrate
the effectiveness of the proposed techniques.
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