  The capability to exploit multiple sources of information is of fundamental
importance in a battlefield scenario. Information obtained from different
sources, and separated in space and time, provide the opportunity to exploit
diversities in order to mitigate uncertainty. For the specific challenge of
Automatic Target Recognition (ATR) from radar platforms, both channel (e.g.
polarization) and spatial diversity can provide useful information for such a
specific and critical task. In this paper the use of pseudo-Zernike moments
applied to multi-channel multi-pass data is presented exploiting diversities
and invariant properties leading to high confidence ATR, small computational
complexity and data transfer requirements. The effectiveness of the proposed
approach, in different configurations and data source availability is
demonstrated using real data.
