Quasi-Invariants for Recognition of Articulated and Non-standard Objects in SAR Images

Using SAR scattering center locations and magnitudes as features, invariances with articulation (i.e., turret rotation for the ZSU 23/4 gun and T72 tank), with con guration variants (e.g. fuel barrels, searchlights, etc.) and with a depression angle change are shown for real SAR images obtained from the MSTAR public data. This location and magnitude quasi-invariance forms a basis for an innovative SAR recognition engine that successfully identi es real articulated and non-standard con guration vehicles based on non-articulated, standard recognition models. Identi cation performance results are given as confusion matrices and ROC curves for articulated objects, for con guration variants, and for a small change in depression angle.