Robust statistical feature based aircraft identification

The statistical feature based (StaF) classifier is presented for robust hig h range resolution HRR radar aircraft identification (ID). HRR signature pe ak features are selected "on the fly" with no a priori assumptions about th e number or location of the features. Features extracted depends on the inf ormation content of the observed signature making the number, location, and amplitude of features random variables. A primary goal for this research i s to increase classifier robustness by maintaining high known target ID whi le minimizing unknown target errors. Results are presented demonstrating th at the StaF classifier can significantly reduce errors associated with unkn own targets while maintaining a high probability of correct classification.