Seismic reflection processing techniques are applied routinely to
georadar data. Although similarities exist between radar and seismic
wave propagation, there are some significant differences (e.g., the
dipole nature of georadar sources, receivers and elemental sources
used to represent scattering bodies). To understand better the consequences
of recording dipolar wavefields, we simulate a number of multi-component
georadar data sets. These simulations are based on a weak scattering
approximation, such that point heterogeneities in the subsurface
can be represented by infinitesimal dipoles with moments parallel
and proportional to the incident georadar wavefields. Since many
subsurface structures can be modeled by appropriate suites of infinitesimal
dipoles, the simulation results are quite general. On the basis of
our simulations, we determine that 'pseudo-scalar' wavefields can
be simulated from coincident georadar data sets acquired with two
pairs of parallel source-receiver antenna, one oriented perpendicular
to the other. Pseudo-scalar georadar data, which are characterized
by low degrees of directionality, can be processed confidently using
standard seismic processing software. To illustrate the advantages
of multi-component georadar data, we combine 3D georadar data sets
acquired with dual component source-receiver antenna pairs to form
pseudo- scalar wavefield images.