• Infrared and Laser Engineering
  • Vol. 50, Issue 8, 20210138 (2021)
Yajuan Li
Author Affiliations
  • Electronic Information Research Center, Ankang University, Ankang 725000, China
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    DOI: 10.3788/IRLA20210138 Cite this Article
    Yajuan Li. Combination of multiple decision principles based on sparse representation-based classification for target recognition of SAR image[J]. Infrared and Laser Engineering, 2021, 50(8): 20210138 Copy Citation Text show less
    Flowchart of the proposed method
    Fig. 1. Flowchart of the proposed method
    Imagery of targets to be recognized
    Fig. 2. Imagery of targets to be recognized
    Confusion matrix under SOC
    Fig. 3. Confusion matrix under SOC
    Result comparison at different depression angles
    Fig. 4. Result comparison at different depression angles
    Avarage recognition rates under noises
    Fig. 5. Avarage recognition rates under noises
    Avarage recognition rates under target occlusions
    Fig. 6. Avarage recognition rates under target occlusions
    ClassTrainingTest
    ConfigurationNumber of imagesConfigurationNumber of images
    BMP29 5632339 563195
    9 566196
    c21196
    BTR70c71233c71196
    T72132232132196
    812195
    s7191
    T62A51299A51273
    BRDM2E-71298E-71274
    BTR607 5322567 532195
    ZSU23/4d08299d08274
    D713 01529913 015274
    ZIL131E12299E12274
    2S1B01299B01274
    Table 1. Typical experimental setup based on the MSTAR dataset
    Method typeAverage recognition rate
    Proposed98.52%
    SRC+Principle 196.54%
    SRC+Principle 295.88%
    SRC+Principle 397.06%
    CNN98.14%
    Table 2. Results comparison under SOC
    ClassConfigurationDepression angle
    TrainingTest
    17°30°45°
    2S1B01299288303
    BRDM2E-71298287303
    ZSU23/4d08299288303
    Table 3. Experimental setup under depression angle differences
    Yajuan Li. Combination of multiple decision principles based on sparse representation-based classification for target recognition of SAR image[J]. Infrared and Laser Engineering, 2021, 50(8): 20210138
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