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.
Original language | English (US) |
---|---|
Pages (from-to) | 2035-2040 |
Number of pages | 6 |
Journal | IEEE Transactions on Signal Processing |
Volume | 47 |
Issue number | 7 |
DOIs | |
State | Published - Jan 1 1999 |
Externally published | Yes |