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Automatic HRR target recognition based on Prony model wavelet and probability neural network

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3 Author(s)
Zhang Xun ; ATR Nat. Lab., Nat. Univ. of Defense Technol., Changsha, China ; Shen Ronghui ; Guo Guirong

An automatic high range resolution (HRR) target recognition algorithm is detailed and tested on a data set of five different aircraft. A super-resolution downrange profile of radar returns of HRR is obtained using the Prony model. Target features are extracted by the wavelet transform. The features consist of two parts: one reflects the detailed structure of the targets, the other shows the outline of the targets. A probabilistic neural network (PNN) with a simple data fusion technique is applied for target classification

Published in:

Radar, 1996. Proceedings., CIE International Conference of

Date of Conference:

8-10 Oct 1996

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