In this work, a Polarimetric Interferometric Inverse Synthetic Aperture Radar (PolInISAR) based approach is outlined for the 3-D imaging of non-cooperative targets. The role of polarimetry is proven vital here as it allows to select the optimal scattering coefficients combination through which the highest coherence can be obtained. The highest coherence reduces any chance of uncertainties in the phase estimation. Consequently, with the accurate phase, the accurate 3-D image can be reconstructed under the form of 3-D cloud. For the validation of the proposed methodology, the real Tank-72 full-polarimetric ISAR dataset is implemented. The reconstructed result is found to be better superimposing with the original Tank-72 CAD model.
Keywords: Polarimetry, Interferometry, ISAR, coherence optimization, 3-D imaging
