Infrared and Laser Engineering, Volume. 50, Issue 3, 20200399(2021)

Target recognition method of infrared imagery via joint representation of deep features

Guojun Shi
Author Affiliations
  • College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China
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    Figures & Tables(7)
    CNN architecture for infrared imagery target recognition
    Illustration of infrared imagery target recognition via joint representation of deep features
    Labels and illustrations of the 10 targets in MWIR dataset
    Confusion matrix of the proposed method for original test samples
    Comparison of recognition results on the noisy test samples with different methods
    Comparison of recognition results under reduced training sets with different methods
    • Table 1. [in Chinese]

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      Table 1. [in Chinese]

      MethodAverage recognition rate
      Proposed97.7%
      SVM94.5%
      SRC95.1%
      JSR96.6%
      CNN97.2%
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    Guojun Shi. Target recognition method of infrared imagery via joint representation of deep features[J]. Infrared and Laser Engineering, 2021, 50(3): 20200399

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    Paper Information

    Category: Infrared technology and application

    Received: Oct. 19, 2020

    Accepted: --

    Published Online: Jul. 15, 2021

    The Author Email:

    DOI:10.3788/IRLA20200399

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