• Infrared and Laser Engineering
  • Vol. 51, Issue 5, 20210372 (2022)
Shasha Liao
Author Affiliations
  • College of Information Engineering, Chaohu University, Hefei 238000, China
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    DOI: 10.3788/IRLA20210372 Cite this Article
    Shasha Liao. Infrared image target recognition method based on selected deep features[J]. Infrared and Laser Engineering, 2022, 51(5): 20210372 Copy Citation Text show less
    Architecture of ResNet
    Fig. 1. Architecture of ResNet
    Procedure of infrared imagery target recognition based on selected deep features
    Fig. 2. Procedure of infrared imagery target recognition based on selected deep features
    Comparison of reuslts from different methods on the simulated noisy test samples
    Fig. 3. Comparison of reuslts from different methods on the simulated noisy test samples
    Comparison of reuslts from different methods on the simulated occluded test samples
    Fig. 4. Comparison of reuslts from different methods on the simulated occluded test samples
    MethodAverage recognition rate
    Proposed98.4%
    SVM94.5%
    SRC95.1%
    CNN96.6%
    JSR-Deep97.8%
    Table 1. Comparison of reuslts from different methods on the orginal test samples
    Shasha Liao. Infrared image target recognition method based on selected deep features[J]. Infrared and Laser Engineering, 2022, 51(5): 20210372
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