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  • 标题:Target Detection by Fuzzy Gustafson-Kessel Algorithm
  • 本地全文:下载
  • 作者:Mr. Mousumi Gupta
  • 期刊名称:International Journal of Image Processing (IJIP)
  • 电子版ISSN:1985-2304
  • 出版年度:2013
  • 卷号:7
  • 期号:2
  • 页码:203-208
  • 出版社:Computer Science Journals
  • 摘要:Many commercially available radar systems offer a range of filter options but the problem of clutter rejection for target detection is still present in a number of situations. Rejection of clutter and detection of targets from radar captured data is a challenging task. Raw data captured by radar are not always scaled. A normalization technique has been proposed which transforms the radar captured data into 8 bit. As 8 bit data is easy to analyze and visualize. A modification on Fuzzy c-means has been done by developing Fuzzy Gustafson-Kessel (FGK) algorithm and the result shows robustness of this proposed method.
  • 关键词:Target Detection; Clutter Rejection; Data Normalization; Fuzzy Clustering; Fuzzy Gustafson-Kessel (FGK).
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