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Volume 32 Issue 6
Jun.  2010
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Luo Lei, Li Yue-hua. LLE-Based Classification Algorithm and Its Application to Passive Millimeter Wave Target Recognition[J]. Journal of Electronics & Information Technology, 2010, 32(6): 1306-1310. doi: 10.3724/SP.J.1146.2009.00877
Citation: Luo Lei, Li Yue-hua. LLE-Based Classification Algorithm and Its Application to Passive Millimeter Wave Target Recognition[J]. Journal of Electronics & Information Technology, 2010, 32(6): 1306-1310. doi: 10.3724/SP.J.1146.2009.00877

LLE-Based Classification Algorithm and Its Application to Passive Millimeter Wave Target Recognition

doi: 10.3724/SP.J.1146.2009.00877
  • Received Date: 2009-06-12
  • Rev Recd Date: 2010-02-09
  • Publish Date: 2010-06-19
  • A new one-class classification algorithm is put forward based on the idea of Locally Linear Embedding (LLE) and the low dimensional manifold of data distribution, for the issue of one-class classification of pattern recognition. The low dimensional manifold the short-time Fourier spectrum of passive millimeter wave (MMW) detector echo signal is found, which characteristics are explored as well. The algorithm is more efficient than present popular one-class classification algorithm when applied to passive MMW metal target recognition. Moreover, it is not sensitive to input parameters and is robust to data aliasing.
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