The statistical feature based (StaF) classifier is presented for robust high range resolution (HRR) radar aircraft identification (ID). HRR signature peak features are selected "on the fly" with no a priori assumptions about the number or location of the features. Features extracted depends on the information content of the observed signature making the number, location, and amplitude of features random variables. A primary goal for this research is to increase classifier robustness by maintaining high known target ID while minimizing unknown target errors. Results are presented demonstrating that the StaF classifier can significantly reduce errors associated with unknown targets while maintaining a high probability of correct classification.
Robust statistical feature based aircraft identification
IEEE Transactions on Aerospace and Electronic Systems ; 35 , 3 ; 1077-1094
01.07.1999
703155 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
PAPERS - Robust Statistical Feature Based Aircraft Identification
Online Contents | 1999
|HRR radar aircraft identification method based statistical feature [4554-08]
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|Statistical Feature Based Target Recognition
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