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子波神经网络及其在自动目标识别中的应用 被引量:1

Application of WNN in Automatic Target Recognitno
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摘要 本文分析了于波神经网络(WNN)的生理依据,构造了便于启发式特征抽取的子波。研究了该子波及其相应的WNN在非相干雷达船目标特征抽取中的应用。对现场实录的四类船目标回波数据进行实验,结果表明新构造的低维特征具有较高的目标分类应用价值,抗噪性能良好. This paper concerns the application of wavelet neural network(WNN)in feature ex-traction for incoherent radar ship target recognition. The biological of WNN has been analysed.And, a new kind of analysis wavelet, which is suitable for heuristic feature extraction, has been con-structed.Experiments are carried out for the proposed method with four kinds of practical radar ship target video-echo data and the results indicate that the new feature vector in low dimension is valua-ble for target classificatlon,and the noise-resistance character is good.
出处 《系统工程与电子技术》 EI CSCD 1995年第11期11-18,共8页 Systems Engineering and Electronics
关键词 子波神经网络 特征抽取 神经网络 自动目标识别 WNN,Ship target,Feature extraction,Target recognition.
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