Abstract
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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Zhu, F., Hu, Y., Zhang, X., Xie, D. (2006). Hidden Markov Model Networks for Multiaspect Discriminative Features Extraction from Radar Targets. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11759966_209
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DOI: https://doi.org/10.1007/11759966_209
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34439-1
Online ISBN: 978-3-540-34440-7
eBook Packages: Computer ScienceComputer Science (R0)Springer Nature Proceedings Computer Science
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