Volume 6 Issue 5
Oct.  2013
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ZHAO Jian-chuan, WANG Di-nan, CHEN Chang-qing, GUO Jin. Infrared laser active imaging and recognition technology[J]. Chinese Optics, 2013, 6(5): 795-802. doi: 10.3788/CO.20130605.0795
Citation: ZHAO Jian-chuan, WANG Di-nan, CHEN Chang-qing, GUO Jin. Infrared laser active imaging and recognition technology[J]. Chinese Optics, 2013, 6(5): 795-802. doi: 10.3788/CO.20130605.0795

Infrared laser active imaging and recognition technology

doi: 10.3788/CO.20130605.0795
  • Received Date: 15 Jul 2013
  • Rev Recd Date: 13 Sep 2013
  • Publish Date: 10 Oct 2013
  • An experiment platform for laser active imaging and target recognition was built combining a laser active image system and the target recognition technology, and the target recognition after laser active imaging was mainly researched. The feature vector was comprised of seven invariant Hu moments. The BP neural network algorithm comprised of 136 weight coefficients was used to study the moving target, a 43 submachine gun model at 450 m from the experiment platform at night, and excellent experiment results were obtained. It shows clear imaging effects by 68.87% of target recognition statistic probability in 2 740 frames of laser active imaging, and the probability of rotation transformation reaches 80.05%. These researches are significant to the detection and recognition of little targets at night.

     

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