Hidden Markov models for multiaspect target classification

Paul R. Runkle, Priya K. Bharadwaj, Luise Couchman, Lawrence Carin

Research output: Contribution to journalArticlepeer-review

111 Scopus citations


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.
Original languageEnglish (US)
Pages (from-to)2035-2040
Number of pages6
JournalIEEE Transactions on Signal Processing
Issue number7
StatePublished - Jan 1 1999
Externally publishedYes

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