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Volume 30 Issue 9
Jan.  2011
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Li Li-Ya, Liu Hong-Wei, Cao Xiang-Hai, Wu Shun-Jun. Radar Automatic Target Recognition Based on InISAR Images[J]. Journal of Electronics & Information Technology, 2008, 30(9): 2089-2093. doi: 10.3724/SP.J.1146.2007.00129
Citation: Li Li-Ya, Liu Hong-Wei, Cao Xiang-Hai, Wu Shun-Jun. Radar Automatic Target Recognition Based on InISAR Images[J]. Journal of Electronics & Information Technology, 2008, 30(9): 2089-2093. doi: 10.3724/SP.J.1146.2007.00129

Radar Automatic Target Recognition Based on InISAR Images

doi: 10.3724/SP.J.1146.2007.00129
  • Received Date: 2007-01-23
  • Rev Recd Date: 2007-07-23
  • Publish Date: 2008-09-19
  • The cross-range of ISAR image corresponds with the Doppler frequencies of scatterers, which is decided by the target motion. If the cross-range of ISAR image is not scaled, it is difficult to recognize by ISAR image. In this paper a novel method of interferometric ISAR imaging based on the dominant scatterers is proposed, then the features are extracted from the polar image that is obtained from InISAR image by the polar mapping. The extracted features have invariance with respect to rotation and scale. The effect of the four important parameters on imaging and recognition is discussed, the results of four experiments prove the theory analysis.
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