An approach to identifying ground targets from sequential high-range-resolution (HRR) radar signatures is presented. A hidden Markov model (HMM) is employed ...

In this paper we have discussed the use of sequential information in identification of ground targets using HRR radar signatures. The underlying association ...

An approach to identifying targets from sequential high-range-resolution (HRR) radar signatures is presented. In particular, a hidden Markov model (HMM) is ...

An approach to identifying ground targets from sequential high-range-resolution (HRR) radar signatures is presented and is shown to yield an average ...

An approach to identifying ground targets from sequential high-range-resolution (HRR) radar signatures is presented. A hidden Markov model (HMM) is employed ...

An approach to identifying targets from sequential high-range-resolution (HRR) radar signatures is presented. In particular, a hidden Markov model (HMM) is ...

An approach to identifying targets from sequential high-range-resolution (HRR) radar signatures is presented. In particular, a hidden Markov model (HMM) is ...

An approach to identifying targets from sequential high-range-resolution (HRR) radar signatures is presented. In particular, a hidden Markov model (HMM) is ...

Abstract - An approach to identifying ground targets from sequential high-range-resolution (HRR) radar signatures is presented.

Feature extraction is the key technique for radar automatic target recognition (RATR) based on high-resolution range profile (HRRP).