Papers Published

1. Runkle, PR; Bharadwaj, PK; Couchman, L; Carin, L, Hidden Markov models for multiaspect target classification, IEEE Transactions on Signal Processing, vol. 47 no. 7 (January, 1999), pp. 2035-2040, Institute of Electrical and Electronics Engineers (IEEE) [78.771050], [doi] .
   (last updated on 2024/12/31)

   Abstract:
   This correspondence presents a new approach for target identification, in which we fuse scattering data from multiple target-sensor orientations. The multiaspect data is processed via hidden Markov model (HMM) classifiers, buttressed by physics-based feature extraction. This approach explicitly accounts for the fact that the target-sensor orientation is generally unknown or 'hidden'. Discrimination results are presented for measured scattering data.

   Keywords:
   Feature extraction;Mathematical models;Markov processes;Scattering;Iterative methods;Pattern matching;