This paper presents a new target recognition scheme via the neural network based on Hidden Markov Model (HMM), which processes the multiaspect features. The target features are extracted by the adaptive gaussian representation (AGR) from the view of physics. Discrimination results are presented for ISAR radar return signal.
['Feng Zhu', 'Yafeng Hu', 'Xian-Da Zhang', 'Deguang Xie']
Hidden Markov Model Networks for Multiaspect Discriminative Features Extraction from Radar Targets