SAR Automatic Target Recognition Based on Local Phase Quantization plus Biomimetic Pattern Recognition
Due to the needs of the modern battlefield awareness and military reconnaissance,Synthetic Aperture Radar (SAR) automatic target recognition (ATR) has been receiving more and more attention.In this paper,a SAR ATR algorithm based on Local Phase Quantization (LPQ) plus Binmimetic Pattern Recognition (BPR) has been proposed.There are three main steps in the proposed algorithm:firstly,a simple preprocessing procedure based on centroid location is applied to the original SAR image to extract the targets region of interest.Secondly,short-term Fourier transform (STFT) computed over the subwindows at every pixel of the preprocessed image is performed and the information of the Fourier phase spectrum is quantized as the features to overcome the target azimuth angle variation.Finally,high dimensional geometry space covering method based on BPR theory is adopted and the hyper-sausage neuron is employed to construct the hyperlinks for the purpose of recognition.Experiments on the MSTAR database show that this proposed algorithm can achieve relatively high recognition rate and high rejection rate.
Automatic Target Recognition Synthetic Aperture Radar Local Phase Quantization Biomimetic Pattern Recogniton
Yikui Zhai Jingwen Li Chenggang Gun Ying Xu
School of Electronics Information and Engineering, Beijing University of Aeronautics and Astronautic School of Electronics Information and Engineering, Beijing University of Aeronautics and Astronautic School of Information and Engineering, Wuyi University, Jiangmen, Guangdong, 529020, China School of Information and Engineering, Wuyi University, Jiangmen, Guangdong, 529020, China;School of
国际会议
2012 IEEE 11th International Conference on Signal Processing (第11届IEEE信号处理国际会议)
北京
英文
1885-1889
2012-10-21（万方平台首次上网日期，不代表论文的发表时间）