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一种基于模糊聚类的自动目标识别算法 被引量:2

A new method of target automatic recognition with fuzzy clustering
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摘要 研究利用低分辨率雷达视频回波信号实现可靠的自动目标识别问题 ,提出了一种基于模糊聚类的自动目标识别算法 .基于这种算法 ,对三类船目标进行实验 ,获得平均近 90 %的正确识别率 .理论和实验表明 。 The problem of reliable automatic target recognition from low resolution radar video return signals is discussed and a new effective recognition method is presented. Based on this method, an experiment for ship target is implemented and an average success rate of about 90% is reached for 3 classes of targets. The results obtained from the theoretical and experimental studies indicate that a high reliability of recognition can be obtained.
作者 胡步发
出处 《福州大学学报(自然科学版)》 CAS CSCD 2001年第3期50-53,共4页 Journal of Fuzhou University(Natural Science Edition)
关键词 特征提取 模糊聚类 雷达 目标识别 回波识别 快速傅立叶变换 编码变换 feature extraction fuzzy clustering radar target recognition
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参考文献4

  • 1[1]Zwicke P Z. A new implementation of the Mellin transform and its application to radar classification of ships[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1983, PAMI-5(2): 256-264.
  • 2[2]Becker P W. Recognition of patterns using the frequencies of occurrence of binary words[M]. California: Springer-Verlag, 1978.
  • 3[3]Kandel A. Fuzzy technique in pattern recognition [M]. New York: Wiley-Interscience, 1992.
  • 4[4]Pal N R. On cluster validity for the fuzzy c-means model[J]. IEEE Trans Fuzzy Systems, 1995, 3(3): 370-379.

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