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  • 标题:OBJECT RECOGNITION IN RADAR IMAGES USING CONJUGATION INDICES AND SUPPORT SUBSPACES
  • 本地全文:下载
  • 作者:Zherdev D.A. ; Kazanskiy N.L. ; Fursov V.A.
  • 期刊名称:Computer Optics / Компьютерная оптика
  • 印刷版ISSN:0134-2452
  • 电子版ISSN:2412-6179
  • 出版年度:2015
  • 卷号:39
  • 期号:2
  • 页码:255-264
  • 语种:Russian
  • 出版社:Samarskii Natsional'nyi Issledovatel'skii Universitet imeni Akademika S.P. Koroleva,Samara National Research University
  • 摘要:We suggest an object recognition method based on synthetic aperture radar images. The socalled conjugation index between the vector under recognition and a subspace composed of vectors of a training set has been used as a distance function. The processes of clustering have been constructed using support subspaces. Different processes of the training set resampling through the exclusion of vague vectors from the set using the conjugation index have been discussed. The dependence of the recognition quality on the support subspace dimension has been analyzed. The results of experiments demonstrate that the proposed method provides a higher recognition quality than that offered by the support vector method (SVM).
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