Multilook Polarimetric 3-D Interferometric ISAR Imaging

This article introduces polarimetric 3-D interferometric inverse synthetic aperture radar (ISAR) imaging process using multiple phase centers via a spatio-sensor multilook algorithm. This approach enables one to take effective advantage of polarimetric scattering mechanisms in 3-D target representations, which may improve target classification and identification. In addition, the multilook algorithm enhances the accuracy of height estimation in noisy conditions. The 3-D interferometric ISAR (InISAR) imaging process is validated using the backhoe synthetic data released by the Air Force Research Laboratory.

Automated summary

This article introduces a method for polarimetric 3-D ISAR imaging using multiple phase centers and a multilook algorithm, which improves target classification and identification, as well as enhances accuracy of height estimation in noisy conditions.