Identification of ground targets from sequential HRR radar signatures

Journal Article

An approach to identifying ground targets from sequential high-range-resolution (HRR) radar signatures is presented. A hidden Markov model (HMM) is employed to model the sequential information contained in multi-aspect target signatures. Dominant range-amplitude features are extracted via RELAX for dimension reduction. A new distance measure is incorporated into the HMM to allow a direct matching operation in the feature domain without requiring interpolation. The approach is applied to the dataset of ten MSTAR targets and is shown to yield an average identification rate of 90.3% using sequential information from 6 degree angular spans.

Duke Authors

Cited Authors

  • Liao, X; Runkle, P; Jiao, Y; Carin, L

Published Date

  • September 26, 2001

Published In

Volume / Issue

  • 5 /

Start / End Page

  • 2897 - 2900

International Standard Serial Number (ISSN)

  • 1520-6149

Citation Source

  • Scopus