Abstract
A new criterion for target detection and identification is proposed to
realize metal/dielectric identification and recognition based on Mueller matrix
analysis. By using randomly rough surfaces as targets, numerical calculations are
used to prove the robustness and accuracy of the criterion. Moreover, to the best of
our knowledge, this is the first time to successfully explain the criterion by
theoretical analysis. We believe the work provides an important reference for
polarization imaging in laser radar and remote sensing, and so on.
© 2014 Chinese Optics Letters
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